JP7237404B1 - Oral advice system, oral advice method and program - Google Patents

Abstract

An object of the present invention is to advise oral care or oral rehabilitation suitable for a user's intraoral condition. An oral advice system for advising oral care or oral rehabilitation suitable for a user's oral condition obtains an intraoral image of the user's oral cavity and analyzes the obtained intraoral image. , based on the analysis results, the state of the oral cavity is determined, based on the determination results, the oral care or oral rehabilitation suitable for the state of the oral cavity is specified, and the user is provided with the specified oral care or Advise oral rehabilitation. [Selection drawing] Fig. 1

Description

TECHNICAL FIELD The present invention relates to a technique effective for giving advice on oral care or oral rehabilitation suitable for a user's intraoral condition.

In recent years, techniques related to intraoral diseases have attracted attention.
For example, Patent Literature 1 discloses a technique for classifying images of tooth surfaces for caries detection based on intraoral images.
In addition, Patent Literature 2 discloses a technique for diagnosing a disease in the user's oral cavity based on an intraoral image composed of a plurality of images representing a predetermined region in the oral cavity.

Japanese Patent Application Publication No. 2014-509908 JP 2019-155027 A

Without oral care or oral rehabilitation, dirt and bacteria remain in the oral cavity and oral functions tend to deteriorate.
However, it was difficult to know the oral care or oral rehabilitation suitable for one's own intraoral condition.
Therefore, there is a demand for a technique for advising on oral care or oral rehabilitation suitable for the user's intraoral condition.
However, the techniques described in Patent Literatures 1 and 2 cannot give advice on oral care or oral rehabilitation suitable for the user's intraoral condition.

The inventor focused on the need for an oral advice system, oral advice method, and program capable of giving advice on oral care or oral rehabilitation suitable for the user's intraoral condition.

Accordingly, an object of the present invention is to provide an oral advice system, an oral advice method, and a program capable of giving advice on oral care or oral rehabilitation suitable for the user's intraoral condition.

The present invention is an oral advice system that advises oral care or oral rehabilitation suitable for a user's oral condition,
an intraoral image acquiring unit that acquires an intraoral image of the user's intraoral cavity;
an intraoral image analysis unit that analyzes the acquired intraoral image;
a determination unit that determines the state of the oral cavity based on the analysis results;
an identification unit that identifies the oral care or oral rehabilitation suitable for the intraoral condition based on the determination result;
an advice unit that advises the user on the specified oral care or oral rehabilitation;
an introduction unit that introduces a medical facility suitable for treatment of the oral condition based on the determination result;
a community creation unit that creates the oral care or oral rehabilitation community;
an invitation unit for inviting the user to the advised oral care or oral rehabilitation community;
with
The introduction section
a medical facility identification unit that identifies a medical facility suitable for treatment of the oral condition based on the determination result;
a consultation schedule creation unit that creates a consultation schedule for the specified medical facility;
a medical examination schedule providing unit that provides the created medical examination schedule to the user;
with
The medical facility identification unit identifies a medical facility suitable for treatment of the oral condition further based on a bidding result of bidding for the medical facility to treat the oral condition,
The consultation schedule creating unit provides an oral advice system for creating the consultation schedule based on the medical treatment date and/or reservation status of the specified medical facility.

According to the present invention, an oral advice system that advises oral care or oral rehabilitation suitable for a user's oral condition acquires an intraoral image of the user's oral cavity, and converts the acquired intraoral image to Based on the analysis results, the state of the oral cavity is determined, and based on the determination results, the oral care or oral rehabilitation suitable for the state of the oral cavity is specified, and the specified oral care system is provided to the user. care or oral rehabilitation is advised , based on the judgment result, a medical facility suitable for treatment of the oral condition is introduced, the oral care or oral rehabilitation community is created, and the user receives the advice from the oral Invite to a care or oral rehabilitation community, identify a medical facility suitable for treatment of the oral condition based on the judgment result, create a visit schedule for the identified medical facility, create a visit schedule, identifying and identifying a medical facility suitable for treatment of the oral condition, further based on the bid results provided to the user and placing a bid on the medical facility to treat the oral condition; The consultation schedule is created based on the date and/or reservation status of the medical facility .

Although the present invention is in the category of systems, the same actions and effects can be achieved with methods and programs.

ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to advise oral care or oral rehabilitation suitable for a user's intraoral condition.

1 is a diagram explaining an outline of an oral advice system 1; FIG. 1 is a diagram showing a functional configuration of an oral advice system 1; FIG. 4 is a diagram showing a flowchart of first determination processing executed by the oral advice system 1. FIG. It is a figure which shows the example of an intraoral image. FIG. 9 is a diagram showing a flowchart of a second determination process executed by the oral advice system 1; FIG. 4 is a diagram showing an example of an annotated intraoral image; FIG. 11 is a diagram showing a flowchart of a third determination process executed by the oral advice system 1; FIG. 10 is a diagram showing a flowchart of a fourth judgment process executed by the oral advice system 1; 4 is a diagram showing a flowchart of advice processing executed by the oral advice system 1. FIG. FIG. 2 is a diagram schematically showing an example of a database in which intraoral conditions are associated with oral care and oral rehabilitation and registered. 4 is a diagram showing a flowchart of medical facility introduction processing executed by the oral advice system 1. FIG. 4 is a diagram showing a flowchart of first specific processing executed by the oral advice system 1. FIG. FIG. 10 is a diagram showing a flowchart of second specific processing executed by the oral advice system 1. FIG. FIG. 10 is a diagram showing a flowchart of a third specific process executed by the oral advice system 1; 4 is a diagram showing a flowchart of community creation processing executed by the oral advice system 1. FIG. 4 is a diagram showing a flowchart of oral care community invitation processing executed by the oral advice system 1. FIG. 2 is a diagram showing a flowchart of oral rehabilitation community invitation processing executed by the oral advice system 1. FIG. 4 is a diagram showing a flowchart of participant detection processing executed by the oral advice system 1. FIG.

EMBODIMENT OF THE INVENTION Hereinafter, with reference to an accompanying drawing, the form (henceforth, embodiment) for implementing this invention is demonstrated in detail. In subsequent figures, the same numbers or symbols are attached to the same elements throughout the description of the embodiments.

[Basic Concept/Basic Configuration]
FIG. 1 is a diagram for explaining an overview of an oral advice system 1. As shown in FIG. The oral advice system 1 includes at least a computer 10, and is a system that advises a user on oral care or oral rehabilitation suitable for the user's intraoral condition. In this embodiment, the oral advice system 1 includes a computer 10, a user terminal 20 possessed by a user, and a medical facility terminal 21 managed by a medical facility where a medical professional who has expertise in oral care or oral rehabilitation works. , are connected for data communication.

Processing steps when the oral advice system 1 advises oral care or oral rehabilitation suitable for the user's intraoral condition will be described with reference to FIG.

The computer 10 acquires an intraoral image of the user's intraoral cavity (step S1).
The intraoral image is an image captured with visible light, and includes, for example, an integrated upper and lower jaw image, an upper jaw single image, a lower jaw single image, a tooth single image, and an oral mucosa image.
The computer 10 acquires an intraoral image of the user's oral cavity taken by the user terminal 20 from the user terminal 20 that took the image, and an intraoral image of the user's oral cavity taken by an imaging device provided in the medical facility. is acquired via the medical facility terminal 21 managed by the medical facility, an intraoral image of the user's oral cavity is acquired.

The computer 10 analyzes the acquired intraoral image (step S2).
The computer 10 performs image analysis using AI (Artificial Intelligence) on the acquired intraoral image.

The computer 10 determines the intraoral condition based on the analysis results (step S3).
The conditions in the oral cavity include, for example, tooth decay, unbrushed teeth, habit of brushing teeth, periodontal disease, abnormal attachment of frenulum, abnormal alignment of teeth, and temporomandibular joint disorder.
The computer 10 determines the intraoral condition of the user based on the analysis results.

The computer 10 specifies oral care or oral rehabilitation suitable for the intraoral condition based on the determination result (step S4).
Oral care includes, for example, introduction of toothpaste containing fluoride and instruction on how to use a toothbrush. In addition, oral rehabilitation includes, for example, dietary guidance for symptom improvement, tongue and lip training guidance for improving tongue sliding, tongue training guidance for improving tooth alignment, sleeping posture guidance, and symptom improvement. It is a lifestyle guidance including dietary habits for.
The computer 10 refers to a database or the like in which the oral condition, oral care, and oral rehabilitation are registered in advance in association with each other, and specifies oral care or oral rehabilitation associated with the oral condition determined this time. .

The computer 10 advises the user of the identified oral care or oral rehabilitation (step S5).
The computer 10 identifies the content of advice to be given to the user based on the identified oral care or oral rehabilitation.
The contents of the advice are, for example, a video for product introduction, an introduction page, and a predetermined message, and a video, an image, and a predetermined message regarding the guidance content.
The computer 10 transmits the content of the identified advice to the user terminal 20 .
The user terminal 20 receives the content of the specified advice and displays it on its own display unit or the like.
By viewing the content of the advice displayed by the user terminal 20, the user receives advice on oral care or oral rehabilitation suitable for the state of his/her own oral cavity.
As a result, the computer 10 advises the user of the identified oral care or oral rehabilitation.

According to such an oral advice system 1, it is possible to give advice on oral care or oral rehabilitation suitable for the user's intraoral condition.

[Function configuration]
Based on FIG. 2, the functional configuration of the oral advice system 1 will be described.
The oral advice system 1 includes at least a computer 10, and the computer 10 includes a user terminal 20 such as a mobile phone, a smartphone, a tablet terminal, or a personal computer owned by a user, a mobile phone, a smartphone, a tablet terminal, or a personal computer managed by a medical facility. It is a system in which a medical facility terminal 21 such as a computer is connected via a network 9 such as a public line network so as to be capable of data communication.
Note that the oral advice system 1 may include other terminals, devices, and the like.

The computer 10 is a computer or a personal computer having a server function that advises the user on oral care or oral rehabilitation suitable for the user's intraoral condition.
The computer 10 may be realized by, for example, one computer, or may be realized by a plurality of computers like a cloud computer. A cloud computer in this specification is a computer that uses any computer in a scalable manner to perform a specific function, or includes multiple functional modules to realize a certain system, and uses the functions in a free combination. It can be anything.

The computer 10 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. as a control unit, and a communication unit to communicate with other terminals, devices, etc. It includes a device for enabling communication, an intraoral image acquisition unit 11 for acquiring an intraoral image, an advice unit 12 for giving advice on oral care or oral rehabilitation to the user, and the like.
The computer 10 also includes a data storage unit such as a hard disk, a semiconductor memory, a storage medium, or a memory card as a storage unit.
The computer 10 also includes, as processing units, various devices for executing various processes, an intraoral image analysis unit 13 for analyzing intraoral images, a judgment unit 14 for judging the state of the oral cavity, and an oral cavity suitable for the state of the oral cavity. A specifying unit 15 or the like for specifying care or oral rehabilitation is provided.

In the computer 10, the control unit reads a predetermined program to cooperate with the communication unit to obtain an intraoral image acquisition module, an X-ray image acquisition module, an advice module, a care/rehabilitation schedule provision module, and a registration information acquisition module. , a bidding module, an evaluation acquisition module, an introduction module, a consultation schedule provision module, a community invitation module, and a service provision module.
Further, in the computer 10, the control unit reads a predetermined program, and cooperates with the storage unit to implement a treatment content registration module, an evaluation registration module, a community registration module, and a participant registration module.
Further, in the computer 10, the control unit reads a predetermined program to cooperate with the processing unit to perform an intraoral image analysis module, a learning module, a determination module, an intraoral image annotation module, an X-ray image analysis module, an X Line image annotation module Content identification module Care/rehabilitation schedule creation module Medical facility identification module Judgment module Aggregation module Consultation schedule creation module Community creation module Post content acquisition module Post content analysis module Harmful participant detection Implement modules, exclusion modules, beneficial participant detection modules, and grant modules.

[First Determination Process Executed by Computer 10]
A first determination process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of the first determination process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is the details of the intraoral image acquisition process (step S1), the intraoral image analysis process (step S2), and the intraoral state determination process (step S3).

The intraoral image acquisition module acquires an intraoral image of the user's intraoral cavity (step S10).
As described above, the intraoral image is an image captured with visible light, and includes an integrated upper and lower jaw image, an upper jaw single image, a lower jaw single image, a tooth single image, an oral mucosa image, and the like (see FIG. 4).
The intraoral image acquisition module acquires this intraoral image from the user terminal 20 or the medical facility terminal 21 .
A user causes the user terminal 20 to capture an intraoral image of the user and transmit the captured intraoral image to the computer 10 . In addition, a medical worker working at the medical facility (for example, a dentist, a dental hygienist, a part-time worker) shoots the user's oral cavity with an imaging device provided in the medical facility, and the taken intraoral image is sent to the medical facility terminal 21. Send to The medical facility terminal 21 transmits this intraoral image to the computer 10 .
The intraoral image acquisition module acquires an intraoral image of the user's oral cavity by receiving the intraoral image.

The intraoral image analysis module analyzes the acquired intraoral image (step S11).
The intraoral image analysis module analyzes intraoral images by image analysis using AI.
A learning model used by AI will be described.
The learning module associates the intraoral image with the state of the oral cavity in the intraoral image and learns in advance to generate a learning model. As described above, the conditions in the oral cavity include caries, unbrushed teeth, habit of brushing teeth, periodontal disease, abnormal attachment of frenulum, abnormal alignment of teeth, and temporomandibular joint disorder. Learning performed by the learning module includes, for example, supervised learning, unsupervised learning, machine learning such as reinforcement learning, convolutional neural network, recurrent neural network, and deep learning using long/short-term memory.
The intraoral image analysis module applies this learning model to the acquired intraoral image to perform image analysis. As image analysis, the intraoral image analysis module analyzes the location suspected of being abnormal as the state of the oral cavity and the contents of the abnormality in the acquired intraoral image.

The determination module determines the intraoral condition based on the analysis result (step S12).
The judgment module judges the state of the oral cavity at each location based on the location suspected to be abnormal as the state of the oral cavity obtained by analyzing the intraoral image and the content of the abnormality. The determination module determines one or more intraoral conditions at each location. If only one state exists at each location, the determination module determines this one state as the intraoral state. In addition, when a plurality of states exist at each location, the determination module determines the plurality of states as intraoral states, and also determines the probability ratio of each intraoral state.

The above is the first determination process.

[Second Determination Processing Executed by Computer 10]
A second determination process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of the second determination process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a modification of the first determination process described above.
Note that detailed descriptions of the same processes as those described above will be omitted.

The intraoral image acquisition module acquires an intraoral image of the user's intraoral cavity (step S20).
The processing of step S20 is the same as the processing of step S10 described above.

The intraoral image annotation module annotates the acquired intraoral image (step S21).
Annotations are, for example, marking, tagging, and labeling.
The intraoral image annotation module accepts an annotation input for a location where a medical worker or the like feels abnormal as an intraoral condition, and annotates the accepted location.
Alternatively, the intraoral image annotation module uses AI to annotate.
A learning model used by AI will be described.
The learning module learns in advance by associating the intraoral image with the location to be annotated that is suspected to be abnormal as the state of the oral cavity, and generates a learning model.
The intraoral image annotation module uses this learning model to annotate. The intraoral image annotation module applies a learning model to the acquired intraoral images and annotates suspected abnormalities in the intraoral images.
Note that the intraoral image annotation module can also be configured to annotate the acquired intraoral image by a method other than the method described above.

An example of an intraoral image annotated by the intraoral image annotation module will be described with reference to FIG. FIG. 6 is a diagram schematically showing an example of a state in which the intraoral image annotation module annotates each acquired intraoral image.
In FIG. 6, the intraoral image annotation module has added marks 30 to suspected abnormalities in the intraoral image. The intraoral image annotation module annotates the acquired intraoral image by applying annotations such as marks 30 to the intraoral image.

Returning to FIG. 5, the continuation of the second determination process will be described.
The intraoral image analysis module analyzes the annotated intraoral image (step S22).
The intraoral image analysis module analyzes the annotated intraoral image by image analysis using AI. The learning model used by AI in this process is the same as the learning model in the process of step S11 described above.
The intraoral image analysis module applies this learning model to the annotated intraoral image to perform image analysis. The intraoral image analysis module analyzes the content of abnormality at the annotated location in this intraoral image as image analysis.

The determination module determines the intraoral condition based on the analysis result (step S23).
The judgment module judges the intraoral state at each annotated location based on the content of the abnormality obtained by analyzing the intraoral image. The determination module determines one or more intraoral conditions at each location. If only one state exists at each location, the determination module determines this one state as the intraoral state. In addition, the determination module, when there are multiple states as possibilities at each location, determines these multiple states as intraoral states, and the ratio of each possibility of each intraoral state together to decide.

The above is the second determination process.

[Third Determination Processing Executed by Computer 10]
A third determination process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of the third determination process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a modification of the first determination process described above.
Note that detailed descriptions of the same processes as those described above will be omitted.

The intraoral image acquisition module acquires an intraoral image of the user's mouth (step S30), and the intraoral image analysis module analyzes the acquired intraoral image (step S31).
The process of step S30 is the same as the process of step S10 described above, and the process of step S31 is the same as the process of step S11 described above.

The X-ray image acquisition module acquires an X-ray image of the user's intraoral cavity (step S32).
An X-ray image is an image captured by X-rays, such as an upper and lower jaw integrated X-ray image, an upper jaw single X-ray image, a lower jaw single X-ray image, a tooth single X-ray image, an oral mucosa X-ray image, and the like.
An imaging device provided in the medical facility images the intraoral area of the user by a medical worker working at the medical facility, and transmits the captured X-ray image to the medical facility terminal 21 . The medical facility terminal 21 transmits this X-ray image to the computer 10 .
The X-ray image acquisition module acquires an X-ray image of the intraoral cavity of the user by receiving this X-ray image.

The X-ray image analysis module analyzes the acquired X-ray image (step S33).
The X-ray image analysis module analyzes the X-ray image by image analysis using AI.
A learning model used by AI will be described.
The learning module learns in advance by associating the X-ray image with the intraoral state in the X-ray image, and generates a learning model.
The X-ray image analysis module applies this learning model to the acquired X-ray image to perform image analysis. As image analysis, the X-ray image analysis module analyzes the location suspected of being abnormal as the state of the oral cavity and the details of the abnormality in the acquired X-ray image.

The determination module determines the intraoral state based on the analysis result of the intraoral image and the analysis result of the X-ray image (step S34).
The determination module determines the location suspected to be abnormal as the state of the oral cavity obtained by analyzing the intraoral image and the content of the abnormality, and the location suspected to be abnormal as the state of the oral cavity analyzed by the X-ray image and the content of the abnormality. Based on this, the state of the oral cavity at each location is determined. The determination module determines one or more intraoral conditions at each location. If only one state exists at each location, the determination module determines this one state as the intraoral state. In addition, when a plurality of states exist at each location, the determination module determines the plurality of states as intraoral states, and also determines the probability ratio of each intraoral state.
At this time, the determination module determines whether the intraoral image and the X-ray image have different locations where an abnormality is suspected as the state of the oral cavity, or if the content of the abnormality is different as the state of the oral cavity. The state of the oral cavity may be determined based on one of the images, or the state of the oral cavity may be determined based on both images. A condition in the oral cavity may be determined based on a high probability ratio of the condition in the oral cavity.

The above is the third determination process.

[Fourth determination process executed by computer 10]
A fourth determination process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of the fourth determination process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a modification of the first determination process described above.
Note that detailed descriptions of the same processes as those described above will be omitted.

The intraoral image acquisition module acquires an intraoral image of the user's intraoral cavity (step S40), the intraoral image annotation module annotates the acquired intraoral image (step S41), and the intraoral image analysis module analyzes the annotated intraoral image (step S42), and the X-ray image acquisition module acquires an X-ray image of the user's intraoral cavity (step S43).
The process of step S40 is the same as the process of step S10 described above, the process of step S41 is the same as the process of step S21 described above, and the process of step S42 is the same as the process of step S22 described above. , the processing of step S43 is the same as the processing of step S32 described above.

The X-ray image annotation module annotates the acquired X-ray image (step S44).
The X-ray image annotation module receives an annotation input for a location where a medical worker or the like feels abnormal as an intraoral condition, and annotates the received location.
Alternatively, the X-ray image annotation module uses AI to annotate.
A learning model used by AI will be described.
The learning module learns in advance by associating the X-ray image with the location to be annotated that is suspected to be abnormal as the state of the oral cavity, and generates a learning model.
The X-ray image annotation module uses this learning model to annotate. An X-ray image annotation module applies a learning model to an acquired X-ray image to annotate suspected abnormalities in the X-ray image.
The X-ray image annotation module can also be configured to annotate the acquired X-ray image by a method other than the method described above.

The X-ray image analysis module analyzes the annotated X-ray image (step S45).
The X-ray image analysis module analyzes the annotated X-ray image by image analysis using AI. The learning model used by AI in this process is the same as the learning model in the process of step S33 described above.
The X-ray image analysis module applies this learning model to the annotated X-ray image to perform image analysis. The X-ray image analysis module analyzes the details of the abnormality at the annotated location in this X-ray image as image analysis.

The judgment module judges the state of the oral cavity based on the analysis result of the intraoral image and the analysis result of the X-ray image (step S46).
The judgment module judges the state of the oral cavity at each location based on the content of the abnormality at each annotated location obtained by analyzing the intraoral image and the content of the abnormality at each annotated location obtained by analyzing the X-ray image. The determination module determines one or more intraoral conditions at each location. If only one state exists at each location, the determination module determines this one state as the intraoral state. In addition, when a plurality of states exist at each location, the determination module determines the plurality of states as intraoral states, and also determines the probability ratio of each intraoral state.
At this time, if the annotated location is different between the intraoral image and the X-ray image, or if the contents of the abnormality as the intraoral state are different, the determination module , the state of the oral cavity may be determined based on both, and the state of the oral cavity may be determined based on both images. You may judge the state in an oral cavity based on what has a high ratio.

The above is the fourth determination process.

The oral advice system 1 executes the processes described later based on the intraoral conditions determined by the first to fourth determination processes described above.

[Advice processing executed by computer 10]
Advice processing executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of advice processing executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a process performed after the above-described first to fourth determination processes, and includes a specific process (step S4) of oral care or oral rehabilitation suitable for the state of the oral cavity described above, and a process of specifying oral care or oral rehabilitation. Details of advice processing (step S5).

The content identification module identifies oral care or oral rehabilitation suitable for the intraoral condition based on the determination result (step S50).
Oral care includes, as mentioned above, introduction of toothpaste containing fluoride, instruction on how to use a toothbrush, and the like. In addition, as mentioned above, oral rehabilitation includes dietary guidance for improving symptoms, tongue and lip training guidance for improving tongue sliding, tongue training guidance for improving tooth alignment, sleeping posture guidance, Lifestyle guidance, including dietary habits, aimed at improving symptoms.
The content identification module refers to a database (see FIG. 10) in which the oral condition is associated with oral care and oral rehabilitation in advance, and the oral care or oral care associated with the oral condition determined this time. Identify oral rehabilitation.

FIG. 10 is a diagram schematically showing an example of a database in which intraoral conditions are associated with oral care and oral rehabilitation and registered.
In the figure, each intraoral condition is registered in association with oral care or oral rehabilitation. "Tooth decay" in the intraoral condition is registered in association with "Introduction to toothpaste containing fluoride" in oral care. "Incomplete brushing" in the state of the oral cavity is registered in association with "guidance on brushing with a toothbrush" in oral care. The "brushing habit" in the state of the oral cavity is registered in association with the "toothbrush brushing instruction" in oral care. "Periodontal disease" in the state of the oral cavity is registered in association with "guidance on brushing a toothbrush" in oral care and "dietary habits guidance for improving symptoms" in oral rehabilitation. "Abnormal frenulum attachment" in the oral cavity is registered in association with "tongue and lip training guidance for improving tongue sliding" in oral rehabilitation. "Abnormal alignment of teeth" in the intraoral condition is registered in association with "guidance on tongue training for improving alignment of teeth and guidance on sleeping posture" in oral rehabilitation. "Temporomandibular joint disorder" in the state of the oral cavity is registered in association with "lifestyle guidance including dietary habits for improvement of symptoms" in oral rehabilitation.

The content identification module refers to this database and identifies oral care or oral rehabilitation associated with the determined intraoral condition. For example, if the content identification module determines that the oral cavity condition is caries, it identifies the introduction of fluoride-containing toothpaste as oral care associated with the caries. The content identification module identifies associated oral care or oral rehabilitation for other oral conditions as well. At this time, as in periodontal disease, both oral care and oral rehabilitation are associated with each other, and both may be specified. Specify oral care and, if the condition is severe, may specify oral rehabilitation.

Returning to FIG. 9, the continuation of the advice processing will be described.
The advice module advises the user on the specified oral care or oral rehabilitation (step S51).
Based on the specified oral care or oral rehabilitation, the advice module refers to the content of advice registered in advance in association with each oral care or oral rehabilitation, and specifies the content of advice to be given to the user.
In the case of introduction of toothpaste containing fluoride, the content of the advice is a video for introduction of this toothpaste, an introduction page, and a predetermined message. In addition, in the case of toothbrush brushing instruction, the content of the advice is an introductory video, an introduction page, and a predetermined message, such as the type of toothbrush, how to brush, time to brush, and timing to brush. In addition, in the case of dietary guidance aimed at symptom improvement, the content of the advice is an introductory video, an introduction page, and a predetermined message, such as the types of nutrients required for prevention and improvement, intake methods, and the like. In addition, in the case of tongue and lip training guidance for improving tongue sliding or tongue training guidance for improving tooth alignment, the content of the advice is a video of the training method, an introduction page of the training content, and a predetermined message. Further, the content of the advice includes guidance on posture at bedtime, a video for introducing posture, an introduction page, and a predetermined message. In addition, in the case of lifestyle guidance including dietary habits aimed at improving symptoms, the content of the advice is an introductory video, an introductory page, and a predetermined message for countermeasures in daily life and dietary content countermeasures.
The advice module transmits the content of the identified advice to the user terminal 20 .
The user terminal 20 receives the content of the specified advice and displays it on its own display unit or the like.
By viewing the content of the advice displayed by the user terminal 20, the user receives advice on oral care or oral rehabilitation suitable for the state of his/her own oral cavity.
As a result, the advice module advises the user of the specified oral care or oral rehabilitation.

The care/rehabilitation schedule creation module creates a care/rehabilitation schedule for the identified oral care or oral rehabilitation (step S52).
The care/rehabilitation schedule indicates a schedule for performing oral care or oral rehabilitation.
The care/rehabilitation schedule creation module creates a care/rehabilitation schedule for implementing the content of the advice based on the identified oral care or oral rehabilitation. The care/rehabilitation schedule creation module creates this care/rehabilitation schedule based on the timing associated in advance with the content of each piece of advice, the preset timing, and the like.

The care/rehabilitation schedule providing module provides the created care/rehabilitation schedule to the user (step S53).
The care/rehabilitation schedule providing module transmits the created care/rehabilitation schedule to the user terminal 20 .
The user terminal 20 receives the created care/rehabilitation schedule and displays it on its own display unit or the like.
By browsing the care/rehabilitation schedule displayed by the user terminal 20, the user grasps the timing of giving advice on oral care or oral rehabilitation.
As a result, the care/rehabilitation schedule providing module provides the created care/rehabilitation schedule to the user.

The above is the advice processing.

[Medical Facility Referral Processing Executed by Computer 10]
The medical facility referral process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of medical facility processing executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a process performed after the advice process described above.

The computer 10 executes medical facility identification processing (step S60).
The medical facility specifying process is a process executed by any one of first to third specifying processes described below or a combination of a plurality of them.
A medical facility identification process executed by the computer 10 will be described.

<First Specific Processing Executed by Computer 10>
A first specific process executed by the computer 10 will be described with reference to FIG. 12 . This figure is a diagram showing a flowchart of the first specific processing executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This processing is the details of the above-described medical facility identification processing (step S60).

The registration information acquisition module acquires the treatment content and medical facility information that the medical facility specializes in (step S600).
The medical facility information includes name, location, telephone number, e-mail address, website, department, reception hours, consultation hours, attending physician, access method, and the like.
The registration information acquisition module acquires treatment details and medical facility information that the medical facility specializes in, from the medical facility terminal 21 or a database stored in an external server or the like.
The medical facility terminal 21 accepts input of medical facility information and treatment details that the medical facility managing itself specializes in as registration information. The medical facility terminal 21 transmits the received registration information to the computer 10 .
By receiving this registration information, the registration information acquisition module acquires the treatment details and medical facility information that the medical facility specializes in.
In addition, the registration information acquisition module accesses an external server or the like and acquires treatment details and medical facility information that the medical facility specializes in, which are stored in the external server or the like.

The treatment details registration module registers treatment details that the medical facility specializes in for each medical facility (step S601).
The treatment content registration module associates and registers the specialty treatment content for each medical facility based on the acquired treatment content that the medical facility is good at and the medical facility information.

It should be noted that the computer 10 can also be configured to previously perform the processes of steps S600 and S601 described above. In this case, the computer 10 executes only the process of step S602, which will be described later, during the first specifying process.

The medical facility identification module identifies a medical facility suitable for treatment of the oral condition based on the registered treatment details and the judgment result (step S602).
The medical facility identification module selects a suitable treatment for the oral condition based on the treatment content that the registered medical facility specializes in and the oral condition determined by the first to fourth determination processes described above. identify medical facilities that
If only one oral condition was determined, the medical facility identification module identifies a medical facility that specializes in treating this oral condition. At this time, if there is only one applicable medical facility, the medical facility identification module identifies this one medical facility, and if there are multiple applicable medical facilities, identifies these multiple medical facilities.
In addition, when a plurality of intraoral conditions have been determined, the medical facility identification module identifies a specialized medical facility for each treatment of the intraoral condition. At this time, the medical facility identification module identifies this one medical facility when there is only one applicable medical facility for each treatment of the oral condition, and identifies this one medical facility when there are multiple applicable medical facilities. Identify multiple medical facilities.

The above is the first identification process.

<Second Specific Processing Executed by Computer 10>
A second specific process executed by the computer 10 will be described with reference to FIG. 13 . This figure is a diagram showing a flowchart of the second specific processing executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This processing is the details of the above-described medical facility identification processing (step S60), which is different from the above-described first identification processing.

The bidding module submits a bid to a medical facility to treat an oral condition (step S610).
The bidding module transmits intraoral images and X-ray images obtained by determining the intraoral condition to the medical facility terminal 21 .
The medical facility terminal 21 receives the intraoral image and the X-ray image, and displays them on its own display unit or the like. Bidders (e.g., administrators, medical personnel, employees) view this intraoral image and X-ray image, and if they desire treatment at their own medical facility, this intraoral condition has been determined. Bid on users. When bidding, the medical facility terminal 21 transmits medical facility information and predetermined conditions (scheduled medical examination date and time, doctor in charge, etc.) to the computer 10 .
The bidding module receives the medical facility information and the predetermined conditions to bid for the medical facility to treat the oral condition.

The determination module determines the outcome of the bid (step S611).
The judging module judges the result of the bidding based on the medical facility information of each bidding medical facility and predetermined conditions. The determination module determines the bidding medical facility for each intraoral condition.

The medical facility identification module identifies a medical facility suitable for treatment of the oral condition based on the bidding results and the determination results (step S612).
The medical facility identification module identifies the medical facility based on the medical facility that determined the result of the bid and the intraoral condition determined by the first to fourth determination processes described above.
If only one oral condition was determined, the medical facility identification module identifies the medical facility that has bid for treatment of this oral condition. At this time, if there is only one applicable medical facility, the medical facility identification module identifies this one medical facility, and if there are multiple applicable medical facilities, identifies these multiple medical facilities.
In addition, the medical facility identification module identifies the medical facility that has bid for each treatment of the intraoral condition when a plurality of intraoral conditions have been determined. At this time, the medical facility identification module identifies this one medical facility when there is only one applicable medical facility for each treatment of the oral condition, and identifies this one medical facility when there are multiple applicable medical facilities. Identify multiple medical facilities.

The above is the second identification process.

<Third Specific Processing Executed by Computer 10>
A third specific process executed by the computer 10 will be described with reference to FIG. 14 . This figure is a diagram showing a flowchart of the third specific processing executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This processing is the details of the above-described medical facility identification processing (step S60), which is different from the above-described first and second identification processing.

The evaluation acquisition module acquires the evaluation of the medical facility and the medical facility information from the user treated at the medical facility (step S620).
The evaluation is represented by numbers, symbols, characters, and the like. The evaluation of the medical facility is for the medical facility, the content of the treatment, the medical staff, and the like, which the user consulted.
The evaluation acquisition module acquires the evaluation of the medical facility introduced by the computer 10 through the medical facility introduction process (step S61), which will be described later.
The user terminal 20 accepts an input of evaluation for the medical facility visited. The user terminal 20 accepts, for example, a number from 1 to 5 as an evaluation of the medical facility. At this time, as the number increases, it means that the user gave a good evaluation. The user terminal 20 transmits the received evaluation and medical facility information of the medical facility to the computer 10 .
The evaluation obtaining module obtains the evaluation of the medical facility and the medical facility information from the user treated at the medical facility by receiving the evaluation and the medical facility information.

The aggregation module aggregates the acquired evaluations of medical facilities (step S621).
The tabulation module tabulates the acquired evaluations of medical facilities for each medical facility based on the medical facility information. If there are evaluations of medical facilities that have been aggregated in the past, the aggregation module aggregates the medical facilities acquired this time and aggregates the evaluations of each medical facility. At this time, the aggregation module may aggregate the evaluations of the medical facility as a whole, or may aggregate the evaluations of individual medical facilities, treatment details, medical staff, etc., as individual evaluations.
As an aggregation method, if the evaluation is the above-mentioned number, the aggregation module calculates the average value of the acquired evaluation of the medical facility, and performs a predetermined calculation such as aggregating the evaluation of the medical facility, or adds up the evaluation as it is. etc.

The evaluation registration module registers the aggregated evaluation of the medical facility (step S622).
The evaluation registration module registers aggregated evaluations for each medical facility.

It should be noted that the computer 10 can also be configured to perform the processes of steps S620 to S622 described above in advance. In this case, the computer 10 executes only the process of step S623, which will be described later, during the third specifying process.

The medical facility identification module identifies a medical facility suitable for treatment of the oral condition based on the aggregated medical facility evaluation and judgment results (step S623).
The medical facility identification module identifies a medical facility suitable for treatment of the oral condition based on the aggregated medical facility evaluation and the oral condition determined by the first to fourth determination processes described above. do.
The medical facility identification module identifies a medical facility whose aggregated evaluation satisfies predetermined conditions (highest evaluation, evaluation within a predetermined order, etc.) when only one intraoral condition is determined. At this time, if there is only one applicable medical facility, the medical facility identification module identifies this one medical facility, and if there are multiple applicable medical facilities, identifies these multiple medical facilities.
In addition, if the medical facility identification module determines multiple oral conditions, the evaluation aggregated for each oral condition treatment meets a predetermined condition (highest evaluation, evaluation within a predetermined order, etc.) Identify fulfilling medical facilities. At this time, the medical facility identification module identifies this one medical facility when there is only one applicable medical facility for each treatment of the oral condition, and identifies this one medical facility when there are multiple applicable medical facilities. Identify multiple medical facilities.

The above is the third identification process.

The computer 10 may execute any one of the above-described first to third identifying processes in the above-described medical facility identifying process (step S60) to be executed, or may perform any one of the first to third identifying processes. You may perform the process which combined the plurality of.
The computer 10 may specify a medical facility based on the registered treatment details (first specifying process), the bidding result (second specifying process), and the judgment result, or may specify the registered treatment details. Based on the (first identification process), the aggregated medical facility evaluation (third identification process), and the judgment result, the medical facility may be identified, or the result of the bidding (second identification process ), the aggregate evaluation of the medical facility (third specifying process), and the judgment result, the medical facility may be specified, and the registered treatment content (first specifying process) and the bidding A medical facility may be specified based on the result (second specifying process), the aggregated medical facility evaluation (third specifying process), and the judgment result.

A case will be described where the computer 10 identifies medical facilities based on a plurality of combinations of the first to third identification processes.
For the first and second identification processes, the computer 10 identifies bidding medical facilities among registered medical facilities that specialize in treating the determined oral condition. Alternatively, the computer 10 identifies a registered medical facility that specializes in treating the oral condition among the medical facilities that have bid to treat the determined oral condition.
In the case of the first and third identification processes, the computer 10 identifies medical facilities whose aggregated evaluation satisfies predetermined conditions among registered medical facilities that are good at treating the determined intraoral condition. Alternatively, the computer 10 identifies a registered medical facility that specializes in treating the determined intraoral condition, among the medical facilities whose aggregated evaluation satisfies a predetermined condition.
In the case of the second and third identification processes, the computer 10 identifies those medical facilities that have submitted bids for treatment of the determined oral condition and whose evaluations satisfy predetermined conditions. Alternatively, the computer 10 identifies the medical facilities that bid, among the medical facilities whose aggregated evaluations satisfy predetermined conditions.
In the case of the first to third identification processes, the computer 10 identifies the bidding medical facility among the registered medical facilities that are good at treating the determined intraoral condition, , to identify medical facilities whose ratings meet predetermined criteria. Alternatively, the computer 10 identifies a medical facility whose evaluation satisfies a predetermined condition among the registered medical facilities that are good at treating the determined intraoral condition, and among these medical facilities, furthermore, the bidding medical care is specified. Identify facilities. Alternatively, the computer 10 identifies a registered medical facility that specializes in treating the determined oral condition among medical facilities that have bid for treatment of the determined oral condition, and identifies the registered medical facility. Among the facilities, medical facilities are further identified for which the evaluation satisfies predetermined criteria. Alternatively, the computer 10 identifies a medical facility whose evaluation satisfies a predetermined condition among the medical facilities that have bid for the treatment of the determined oral condition, and among these medical facilities, the medical facility that has the determined oral condition. Identify registered medical facilities that specialize in treatment. Alternatively, the computer 10 identifies a medical facility whose evaluation satisfies a predetermined condition, identifies a registered medical facility that specializes in treating the determined oral condition, and identifies a registered medical facility that is good at treating the determined oral condition. Within, identify the medical facility that has bid to treat this oral condition. Alternatively, the computer 10 identifies a medical facility whose evaluation satisfies a predetermined condition, identifies a medical facility that has bid for treatment of the determined oral condition, and identifies a medical facility that has made the determination. Identify registered medical facilities that specialize in treating oral conditions.

Returning to FIG. 11, the continuation of the medical facility referral process will be described.
The introduction module introduces the identified medical facility (step S61).
The referral module transmits medical facility information of the specified medical facility to the user terminal 20 . At this time, if there is only one specified medical facility, the referral module transmits the medical facility information of this one medical facility to the user terminal, and if there are multiple specified medical facilities, the plurality of medical facilities The medical facility information of the facilities is transmitted to the user terminal 20 in a list or in order.
The user terminal 20 receives this medical facility information and displays it on its own display unit or the like.
By browsing this medical facility information, the user grasps the medical facility suitable for him/herself.
The introduction module introduces the specified medical facility to the user by causing the user terminal 20 to display the medical facility information of the specified medical facility.

The consultation schedule creation module creates a consultation schedule for the specified medical facility (step S62).
The visit schedule is a schedule of dates and times for the user to visit a medical facility.
The consultation schedule creation module creates a consultation schedule based on the specified medical facility date and time, appointment status, and the like. The consultation schedule creation module may create a consultation schedule for all specified medical facilities, or meet predetermined conditions (eg, degree of oral condition determined, medical facility appointment status at the most recent date and time). You may create a consultation schedule in a medical facility.

The medical examination schedule providing module provides the created medical examination schedule to the user (step S63).
The consultation schedule providing module transmits the created consultation schedule to the user terminal 20 .
The user terminal 20 receives this consultation schedule and displays it on its own display unit or the like.
The user grasps the medical examination schedule by browsing the medical examination schedule.
The consultation schedule providing module provides the created consultation schedule to the user by displaying the created consultation schedule on the user terminal 20 .

The above is the medical facility referral processing.

[Community Creation Processing Executed by Computer 10]
The community creation process executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flow chart of the community creation process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process may be performed before each process described above is performed, and is at least a process performed before the community invitation process described later.

The community creation module creates an oral care community (step S70).
A community is intended to be a predetermined website for participants, etc., to interact on specific purposes and topics, and allows participants to post comments, images, and the like.
A community creation module creates a community according to a predetermined format for each oral care.

The community creating module creates an oral rehabilitation community (step S71).
A community creation module creates a community according to a predetermined format for each oral rehabilitation.

The community registration module registers the created community (step S72).
The community registration module registers the community by storing the created community in the storage unit.
The community registration module associates and registers the created oral care community and the identifier (name, ID, management number, etc.) of this oral care, and registers the created community of oral rehabilitation and the identifier of this oral rehabilitation. Associate and register.

The above is the community creation process.

[Oral Care Community Invitation Processing Executed by Computer 10]
Based on FIG. 16, the oral care community invitation process executed by the computer 10 will be described. This figure is a diagram showing a flowchart of an oral care community invitation process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a process performed after the community creation process described above.

The community invitation module invites the user to the advised oral care community (step S80).
The community invitation module invites the user whose oral cavity condition has been determined by the above-described first to fourth determination processes to the oral care community advised by the above-described advice process. The invitation method performed by the community invitation module is, for example, a pre-registered user's email address, SNS (Social Networking Service), message application, chat application, etc., and a predetermined message and community invitation URL (Uniform Resource Locator). is sent.
The community invitation module transmits this predetermined message and the community invitation URL to the user terminal 20 as an invitation message. At this time, the community invitation module transmits this invitation message to one or more user terminals 20 .
The user terminal 20 receives the invitation message and displays it on its own display unit or the like.
The user views this invitation message and enters the invitation URL to participate in the oral care community.
The community invitation module invites the user to the advised oral care community by displaying this invitation message on the user terminal 20 .

The community invitation module invites an oral care device provider to an oral care community where the device provider provides devices (step S81).
Oral care instruments are tools used for oral care. Oral care equipment providers include equipment sales companies and their employees, equipment manufacturing companies and their employees, and the like.
The invitation method performed by the community invitation module is, for example, to send a predetermined message and a community invitation URL or the like to a pre-registered device provider's email address, SNS, message application, chat application, or the like.
The community invitation module transmits this predetermined message and the community invitation URL as an invitation message to the device provider terminal managed or possessed by the device provider. At this time, the community invitation module sends this invitation message to one or more equipment provider terminals.
The appliance provider terminal receives the invitation message and displays it on its own display unit or the like.
The appliance provider browses the invitation message and enters the invitation URL to participate in the oral care community in which he or she provides the appliance.
The community invitation module invites the appliance provider to the oral care community in which the appliance provider provides the appliance by displaying this invitation message on the user terminal 20 .

The community invitation module invites healthcare professionals with oral care expertise to the oral care community in which the healthcare professionals have expertise (step S82).
The invitation method performed by the community invitation module is, for example, a predetermined message and a community invitation to the email address, SNS, message application, chat application, etc. of the medical staff registered in advance or the medical facility where this medical staff works For example, a URL or the like is transmitted.
The community invitation module transmits this predetermined message and the community invitation URL as an invitation message to the medical facility terminal 21 and the medical worker terminal owned by the medical worker. At this time, the community invitation module transmits this invitation message to one or more medical facility terminals 21 and medical staff terminals.
The medical facility terminal 21 and the medical staff terminal receive the invitation message and display it on their display unit or the like.
By reading this invitation message and entering the invitation URL, the medical worker participates in the oral care community in which he or she has specialized knowledge.
The community invitation module displays this invitation message on the medical facility terminal 21 or the medical staff terminal, thereby inviting the medical staff to the oral care community in which the medical staff has specialized knowledge.

The participant registration module registers the participant with the community (step S83).
The participant registration module registers users, device providers and medical professionals who have responded to the invitation among the invited users, device providers and medical professionals as participants in each community.

The computer 10 enables communication between users who need the same oral care, between users and device providers who provide oral care devices, or between users and healthcare professionals with oral care expertise. By accepting remarks and posting images, etc., exchanges between users who need the same oral care, exchanges between users and equipment providers who provide oral care equipment, and having specialized knowledge of oral care with users Communicate with healthcare professionals.

The above is the oral care community invitation processing.

[Oral Rehabilitation Community Invitation Process Executed by Computer 10]
Based on FIG. 17, the oral rehabilitation community invitation process executed by the computer 10 will be described. This figure is a diagram showing a flowchart of an oral rehabilitation community invitation process executed by the computer 10 . Processing executed by each module described above will be described together with this processing. This process is a process performed after the community creation process described above.

The community invitation module invites the user to the advised oral rehabilitation community (step S90).
The community invitation module invites the user, whose intraoral condition has been determined by the first to fourth determination processes described above, to the oral rehabilitation community advised by the advice process described above. The invitation method performed by the community invitation module is the same as for the user in the oral care community invitation process described above.
The user views the invitation message and enters the invitation URL to participate in the oral rehabilitation community.
The community invitation module invites the user to the advised oral rehabilitation community by displaying this invitation message on the user terminal 20 .

The community invitation module invites an oral rehabilitation device provider to an oral rehabilitation community in which the device provider provides devices (step S91).
The invitation method performed by the community invitation module is the same as for appliance providers in the oral care community invitation process described above.
The appliance provider browses the invitation message and enters the invitation URL to participate in the oral rehabilitation community in which he or she provides the appliance.
The community invitation module invites the device provider to an oral rehabilitation community in which the device provider provides the device by displaying the invitation message on the device provider terminal.

The community invitation module invites medical personnel with oral rehabilitation expertise to the oral rehabilitation community in which the medical personnel have expertise (step S92).
The invitation method performed by the community invitation module is the same as for medical staff in the oral care community invitation process described above.
By viewing the invitation message and entering the invitation URL, the medical practitioner participates in the oral rehabilitation community in which he or she has expertise.
The community invitation module displays this invitation message on the medical facility terminal 21 or the medical staff terminal, thereby inviting the medical staff to the oral rehabilitation community in which the medical staff has specialized knowledge.

The participant registration module registers the participant in the community (step S93).
The participant registration module registers users, device providers and medical professionals who have responded to the invitation among the invited users, device providers and medical professionals as participants in each community.

The computer 10 enables communication between users who need the same oral rehabilitation, between users and equipment providers who provide equipment for oral rehabilitation, or between users and medical professionals who have expertise in oral rehabilitation. By accepting remarks and posting images, etc., exchanges between users who need the same oral rehabilitation, exchanges between users and equipment providers who provide oral rehabilitation equipment, and having specialized knowledge of oral rehabilitation with users Communicate with healthcare professionals.

The above is the oral rehabilitation community invitation processing.

[Participant Detection Processing Executed by Computer 10]
Participant detection processing executed by the computer 10 will be described with reference to FIG. 18 . FIG. 1 is a diagram showing a flowchart of participant detection processing executed by the computer 10. As shown in FIG. Processing executed by each module described above will be described together with this processing. This processing is processing performed after the above-described oral care community invitation processing and oral rehabilitation community invitation processing.

The posted content acquisition module acquires the posted content of the participant (step S100).
The content of the post is, for example, a statement or image posted in the above-described community.
The posted content acquisition module acquires the content posted to the community by each participant.

The posted content analysis module analyzes the acquired posted content (step S101).
The post content analysis module, for example, analyzes the frequency of each participant's remarks, pre-registered predetermined keywords in the remark content (e.g., slander, obscene, inappropriate content), effective treatment content, Analyze false content and personal information of participants.

The toxic participant detection module determines whether or not a toxic community participant is detected (step S102).
The harmful participant detection module detects participants who have a significantly low frequency of speaking (for example, participants who have never spoken after participating in the community, who have not spoken more than a predetermined number of times within a predetermined period of time, etc.) participants), participants who posted predetermined keywords, participants who posted their personal information, participants who posted false content, etc. are detected as harmful community participants.

If the harmful participant detection module detects a harmful community participant (step S102 YES), the exclusion module excludes the harmful community participant from the community (step S103).
The exclusion module removes the harmful community participant from the community by unregistering him from all communities in which he is currently participating. That is, if a community participant is detected to be a harmful community participant in a certain community, the exclusion module will Exclude this participant. In addition, the exclusion module removes anything this participant has previously posted in the community.
A participant excluded from a community cannot post comments, images, etc., view, etc. in the excluded community.
Note that the computer 10 may register the detected harmful community participants, and may not invite the registered participants to the community in subsequent oral care community invitation processing or oral rehabilitation community invitation processing. It is possible.
After excluding the participant from the community, the computer 10 terminates this process.

On the other hand, if the harmful participant detection module has not detected a harmful community participant (step S102 NO), the beneficial participant detection module determines whether or not a beneficial community participant has been detected ( step S104).
Based on the analysis result of the content posted, the beneficial participant detection module detects participants whose utterance frequency is equal to or greater than a predetermined number of times (for example, participants whose utterances are equal to or greater than a predetermined number of times within a predetermined period of time), effective treatment content Detect participants, etc., who have posted, etc., as useful community participants.

If the beneficial participant detection module has not detected a beneficial participant (step S104 NO), the computer 10 terminates this process.

On the other hand, if the beneficial participant detection module detects a beneficial participant (step S104 YES), the granting module grants points to the beneficial community participant (step S105).
A method of giving points is, for example, linking points to each participant.
The granting module grants useful community participants points according to the content of comments based on the analysis results of the posted content. The granting module refers to a database or the like that associates content that is determined to be beneficial in advance with points to be granted, specifies points to be granted to a beneficial participant, and grants the specified points to this participant. .

The service providing module provides the participant with a service corresponding to the given points (step S106).
The services are, for example, oral care goods gifts and coupon issuance.
The service providing module refers to a database or the like that associates services with required points in advance, and identifies services corresponding to the given points. The service providing module may specify the service based only on the points granted this time, or may specify the service based on the sum of the points granted in the past that have not been consumed and the points granted this time. You may specify, and you may receive the input etc. from a participant, and may specify a service.
The service providing module provides the specified service to the participants. At this time, the service providing module consumes the points associated with this service from the points given to the participants. The service providing module executes processing necessary to provide the participants with services such as arranging gifts of oral care goods, issuing coupons, and arranging the issued coupons.

The above is the participant detection processing.

The means and functions described above are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program may be provided, for example, from a computer via a network (SaaS: software as a service) or provided as a cloud service. Also, the program may be provided in a form recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal recording device or an external recording device, records it, and executes it. Alternatively, the program may be recorded in advance in a recording device (recording medium) and provided from the recording device to the computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. Moreover, the effects described in the embodiments of the present invention are merely enumerations of the most suitable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. isn't it.

(1) Oral care (e.g., fluoride-containing toothpaste) suitable for the user's intraoral conditions (e.g., tooth decay, unbrushed teeth, brushing habits, periodontal disease, frenulum attachment abnormalities, tooth alignment abnormalities, temporomandibular joint disorders) introduction, toothbrush brushing instruction) or oral rehabilitation (for example, dietary habits guidance for symptom improvement, tongue and lip training guidance for improving tongue sliding, tongue training guidance for improving tooth alignment, bedtime Posture guidance, lifestyle guidance including dietary habits for symptom improvement) is an oral advice system that advises,
Intraoral image acquiring unit (for example, intraoral image acquisition Part 11, intraoral image acquisition module);
an intraoral image analysis unit (for example, an intraoral image analysis unit 13, an intraoral image analysis module) that analyzes the acquired intraoral image;
A determination unit (e.g., determination unit 14, determination module) that determines the state of the oral cavity based on the analysis results;
an identification unit (e.g., identification unit 15, content identification module) that identifies the oral care or oral rehabilitation suitable for the intraoral condition based on the determination result;
an advice unit (e.g., advice unit 12, advice module) that advises the user on the specified oral care or oral rehabilitation;
oral advice system.

According to the invention of (1), it is possible to advise oral care or oral rehabilitation suitable for the user's intraoral condition.

(2) a community creation unit (for example, a community creation module) that creates the oral care or oral rehabilitation community;
an invitation unit (e.g., community invitation module) that invites the user to the advised oral care or oral rehabilitation community;
The oral advice system according to (1), further comprising:

According to the invention of (2), since users can easily consult with each other, it is possible to advise more appropriate oral care or oral rehabilitation.

(3) the invitation unit invites the oral care or oral rehabilitation device provider to the oral care or oral rehabilitation community in which the device provider provides devices;
The oral advice system according to (2).

According to the invention of (3), consultation between the user and the device provider can be easily performed, so that more appropriate oral care or oral rehabilitation can be advised.

(4) the invitation unit invites a medical professional with expertise in oral care or oral rehabilitation to the oral care or oral rehabilitation community in which the medical professional has expertise;
The oral advice system according to (2).

According to the invention of (4), consultation between the user and the medical staff can be easily performed, so that more appropriate oral care or oral rehabilitation can be advised.

(5) Harmful participants of the community (for example, participants who have remarkably low frequency of speaking, participants who have posted predetermined keywords, participants who have posted their personal information, participants who have posted false content) a toxic participant detection unit (e.g., a toxic participant detection module) that detects
an exclusion unit (e.g., an exclusion module) that excludes the detected harmful community participant from the community;
The oral advice system according to any one of (2) to (4), further comprising:

According to the invention of (5), it becomes easier for the participants to communicate with each other more smoothly, and it becomes possible to advise more appropriate oral care or oral rehabilitation.

(6) a useful participant detection unit (for example, useful participant detection module) and
a granting unit (eg, granting module) that grants points to the detected beneficial community participants;
a service providing unit (e.g., service providing module) that provides the participant with a service (e.g., gift of oral care goods, issuance of a coupon) according to the given points;
The oral advice system according to any one of (2) to (4), further comprising:

According to the invention of (6), it becomes easier for the participants to communicate with each other more smoothly, and it becomes possible to advise more appropriate oral care or oral rehabilitation.

(7) an annotation unit (e.g., intraoral image annotation module) that annotates (e.g., marks, tags, labels) the acquired intraoral images;
further comprising
The intraoral image analysis unit analyzes the annotated intraoral image,
The oral advice system according to (1).

According to the invention of (7), since the accuracy of analysis can be improved, it is possible to advise more appropriate oral care or oral rehabilitation.

(8) an introduction unit (for example, an introduction module) that introduces a medical facility suitable for treatment of the oral condition based on the determination result;
The oral advice system according to (1), further comprising:

According to the invention of (8), it is possible to introduce appropriate medical facilities to the user.

(9) an X-ray image acquisition unit (for example, an X-ray image acquisition module) that acquires an X-ray image of the intraoral cavity of the user;
an X-ray image analysis unit (for example, an X-ray image analysis module) that analyzes the acquired X-ray image;
further comprising
The judgment unit judges the state of the oral cavity based on the analysis result of the intraoral image and the analysis result of the X-ray image.
The oral advice system according to (1).

According to the invention of (9), in addition to the image of the intraoral surface photographed by a normal imaging device, the analysis accuracy is improved by using the X-ray image of the surface other than the intraoral surface. can be achieved, it is possible to advise more appropriate oral care or oral rehabilitation.

(10) a schedule creation unit (for example, a care/rehabilitation schedule creation module) that creates a schedule for the identified oral care or oral rehabilitation;
a schedule providing unit (for example, a care/rehabilitation schedule providing module) that provides the created schedule to the user;
The oral advice system according to (1), further comprising:

According to the invention of (10), it is possible to advise the user on more appropriate oral care or oral rehabilitation.

(11) A computer-executed oral advice method for advising oral care or oral rehabilitation suitable for a user's oral condition,
a step of acquiring an intraoral image of the user's oral cavity (for example, step S10);
a step of analyzing the acquired intraoral image (for example, step S11);
a step of determining the state of the oral cavity based on the analysis result (for example, step S12);
a step of specifying the oral care or oral rehabilitation suitable for the condition of the oral cavity based on the judgment result (for example, step S50);
a step of advising the user on the identified oral care or oral rehabilitation (for example, step S51);
oral advice method comprising:

(12) A computer that advises oral care or oral rehabilitation suitable for the user's oral condition,
obtaining an intraoral image of the user's oral cavity (for example, step S10);
a step of analyzing the acquired intraoral image (for example, step S11);
a step of judging the state of the oral cavity based on the analysis result (for example, step S12);
a step of specifying the oral care or oral rehabilitation suitable for the condition of the oral cavity based on the judgment result (for example, step S50);
a step of advising the user on the specified oral care or oral rehabilitation (for example, step S51);
A computer readable program for executing

1 oral advice system 9 network 10 computer 11 intraoral image acquisition unit 12 advice unit 13 intraoral image analysis unit 14 determination unit 15 identification unit 20 user terminal 21 medical facility terminal 30 annotation

Claims (11)

An oral advice system that advises oral care or oral rehabilitation suitable for a user's oral condition,
an intraoral image acquiring unit that acquires an intraoral image of the user's intraoral cavity;
an intraoral image analysis unit that analyzes the acquired intraoral image;
a determination unit that determines the state of the oral cavity based on the analysis results;
an identification unit that identifies the oral care or oral rehabilitation suitable for the intraoral condition based on the determination result;
an advice unit that advises the user on the specified oral care or oral rehabilitation;
an introduction unit that introduces a medical facility suitable for treatment of the oral condition based on the determination result;
a community creation unit that creates the oral care or oral rehabilitation community;
an invitation unit for inviting the user to the advised oral care or oral rehabilitation community;
with
The introduction section
a medical facility identification unit that identifies a medical facility suitable for treatment of the oral condition based on the determination result;
a consultation schedule creation unit that creates a consultation schedule for the specified medical facility;
a medical examination schedule providing unit that provides the created medical examination schedule to the user;
with
The medical facility identification unit identifies a medical facility suitable for treatment of the oral condition further based on a bidding result of bidding for the medical facility to treat the oral condition,
The oral advice system , wherein the consultation schedule creating unit creates the consultation schedule based on the medical treatment date and/or reservation status of the specified medical facility. The invitation unit invites the oral care or oral rehabilitation device provider to the oral care or oral rehabilitation community in which the device provider provides devices.
The oral advice system according to claim 1. The invitation unit invites healthcare professionals with expertise in oral care or oral rehabilitation to the oral care or oral rehabilitation community in which the healthcare professionals have expertise.
The oral advice system according to claim 1. a harmful participant detection unit that detects harmful participants of the community;
an exclusion unit that excludes the detected harmful community participant from the community;
The oral advice system according to any one of claims 1 to 3, further comprising: a beneficial participant detection unit that detects beneficial participants of the community;
a granting unit that grants points to the detected beneficial community participants;
a service providing unit that provides the participant with a service corresponding to the given points;
The oral advice system according to any one of claims 1 to 3, further comprising: an annotation unit that annotates the acquired intraoral image;
further comprising
The intraoral image analysis unit analyzes the annotated intraoral image,
The oral advice system according to claim 1. an X-ray image acquisition unit that acquires an X-ray image of the intraoral cavity of the user;
an X-ray image analysis unit that analyzes the acquired X-ray image;
further comprising
The judgment unit judges the state of the oral cavity based on the analysis result of the intraoral image and the analysis result of the X-ray image.
The oral advice system according to claim 1. a schedule creation unit that creates a schedule for the identified oral care or oral rehabilitation;
a schedule providing unit that provides the created schedule to the user;
The oral advice system of claim 1, further comprising: The medical facility identification unit obtains evaluations of medical facilities from the users who received treatment at the medical facilities, aggregates the obtained evaluations of the medical facilities, and determines the state of the oral cavity based on the aggregated evaluations of the medical facilities. identify medical facilities suitable for the treatment of
Oral advice system according to claim 1. A computer-executed oral advice method for advising oral care or oral rehabilitation suitable for a user's oral condition,
obtaining an intraoral image of the user's oral cavity;
analyzing the acquired intraoral image;
a step of judging the state of the oral cavity based on the analysis results;
Identifying the oral care or oral rehabilitation suitable for the oral cavity condition based on the determination result;
advising the user of the identified oral care or oral rehabilitation;
referring to a medical facility suitable for treatment of the oral condition based on the determination result;
creating the oral care or oral rehabilitation community;
inviting the user to the advised oral care or oral rehabilitation community;
with
The steps introduced above are:
identifying a medical facility suitable for treatment of the oral condition based on the determination result;
creating a schedule of visits to the identified medical facility;
providing the created medical examination schedule to the user;
with
The step of identifying the medical facility includes identifying a medical facility suitable for treating the oral condition further based on bid results of bidding for the medical facility to treat the oral condition. death,
The oral advice method , wherein the step of creating the consultation schedule creates the consultation schedule based on the medical treatment date and/or reservation status of the specified medical facility. A computer that advises oral care or oral rehabilitation suitable for the user's oral condition,
obtaining an intraoral image of the user's oral cavity;
analyzing the acquired intraoral image;
a step of judging the state of the oral cavity based on the analysis results;
Identifying the oral care or oral rehabilitation suitable for the oral cavity condition based on the determination result;
advising the user of the identified oral care or oral rehabilitation;
referring to a medical facility suitable for treatment of the oral condition based on the determination result;
creating said oral care or oral rehabilitation community;
inviting the user to the advised oral care or oral rehabilitation community;
and
In the steps introduced above,
identifying a medical facility suitable for treatment of the oral condition based on the determination result;
creating a visit schedule to the identified medical facility;
providing the created medical examination schedule to the user;
and
The step of identifying the medical facility includes identifying a medical facility suitable for treating the oral condition further based on bid results of bidding for the medical facility to treat the oral condition. death,
A computer-readable program, wherein the step of creating the consultation schedule creates the consultation schedule based on the medical treatment date and/or appointment status of the specified medical facility.

Images