JP2024011949A - Acid erosion detection system, acid erosion detection method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an acid erosion detection system for detecting whether or not erosion is caused by a workplace by analyzing an intraoral image of a worker to be subjected to a dental special medical examination.

SOLUTION: An acid erosion detection system 1 for detecting acid erosion includes: an image acquisition unit 101 for acquiring an intraoral image of a worker 2 to be subjected to a dental special medical examination; a determination unit 102 for analyzing the intraoral image to determine a degree of acid erosion in an oral cavity of the worker 2; an extraction unit 103 for extracting a worker whose determined degree of acid erosion satisfies predetermined conditions; a workplace information acquisition unit 104 for acquiring at least workplace information of a workplace where the extracted worker works; a detection unit 105 for detecting whether or not the acid erosion of the extracted worker 2 is caused by the workplace 3 based on the acquired workplace information; and a provision unit 106 for providing detection results to a set provision destination.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to a technique for providing an erosion disease detection system that analyzes intraoral images of workers who are subject to special dental checkups to detect whether erosion is caused by the workplace.

Workers who work in workplaces that handle chemical substances may suffer from acid erosion depending on the work environment. In such workplaces, regular dental examinations are conducted at the time of employment, upon transfer to the new job, and once every six months after starting the new job, to determine if acid erosion is caused by the workplace. I'm supposed to diagnose what's going on. However, the current situation is inefficient because dentists examine each patient one by one to diagnose whether or not acid erosion is caused by the workplace. Therefore, there is a need for a method for efficiently detecting acid erosion.

On the other hand, in recent years, techniques related to intraoral photographing aids that assist intraoral photographing have been attracting attention.
For example, in Patent Document 1 by the inventor of the present invention, a smartphone holder is formed on the base end side of an insertion plate to be inserted into the oral cavity so as to form an angle of more than 180° and less than 270° with respect to the surface of the insertion plate. Techniques are provided for realizing an intraoral imaging aid that includes a plate and a smartphone fixing means for fixing the smartphone to the smartphone holding plate.

Further, in Patent Document 2, the cylindrical main body has a first end portion having an opening into which an imaging device can be inserted, and a first end portion located on the opposite side of the first end portion, so that the cylindrical main body has a first end portion that has an opening into which an imaging device can be inserted. A technology for realizing an intraoral photography aid comprising a second end having a window that provides a field of view, and an inner circumferential surface extending from the first end toward the second end and allowing sliding of an imaging device. provided.

Patent No. 6806400 JP2021-040666A

However, the techniques of Patent Document 1 and Patent Document 2 cannot efficiently detect acid erosion.

Therefore, the inventors of the present invention have developed a method for detecting acids caused by the workplace by acquiring and analyzing intraoral images of workers undergoing special dental checkups, rather than having dentists examine each worker one by one. We focused on the mechanism for detecting whether or not caries is present.

The present invention is an efficient dental erosion detection system that can analyze intraoral images of workers undergoing special dental checkups and detect whether erosion is caused by the workplace. The purpose of the present invention is to provide a method for detecting acid erosion and a program therefor.

The present invention provides the following solution.

The invention according to the first characteristic is:
An acid erosion detection system that detects acid erosion,
an image acquisition means for acquiring an intraoral image of a worker who is subject to a special dental checkup;
Judgment means for analyzing the intraoral image and determining the degree of dental erosion in the oral cavity of the worker;
Extracting means for extracting workers whose determined degree of acid erosion satisfies predetermined conditions;
At least workplace information acquisition means for acquiring workplace information of the workplace where the extracted worker is working;
Detection means for detecting whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information;
providing means for providing the detection results to a set provision destination;
Provided is an erosion disease detection system comprising:

According to the invention according to the first feature, in the acid erosion detection system for detecting acid erosion, an image acquisition means for acquiring an intraoral image of a worker who is subject to a special dental checkup; a determining means for analyzing the inner image and determining the degree of oral erosion of the worker; and an extracting means for extracting workers whose determined degree of oral erosion satisfies a predetermined condition; At least, a workplace information acquisition means for acquiring workplace information of the workplace where the extracted worker works, and whether or not the acid erosion disease of the extracted worker is caused by the workplace based on the acquired workplace information. and a providing means for providing the result of the detection to a set provider.

Although the invention according to the first feature is in the category of erosion detection system, similar actions and effects can be achieved even in the case of an erosion detection method and program.

The invention according to the second characteristic is an erosion disease detection system, which is the invention according to the first characteristic,
The image acquisition means further acquires past intraoral images of the worker who is subject to a special dental checkup,
The determining means further determines the degree of oral erosion of the worker in the past,
The provision means provides an erosion disease detection system that provides the set provision destination with the difference in the degree of erosion between the past and the present, in addition to the detection results.

According to the invention according to the second characteristic, in the acid erosion detection system which is the invention according to the first characteristic, the image acquisition means further comprises: Obtaining an intraoral image, the determining means further determines the degree of acid erosion in the oral cavity of the worker in the past, and the providing means further determines the degree of acid erosion in the oral cavity of the worker in the past, in addition to the detection results. The difference in the degree of caries is provided to the set provider.

The invention according to the third characteristic is an erosion disease detection system which is the invention according to the first characteristic,
The image acquisition means further acquires past intraoral images of the worker who is subject to a special dental checkup,
The determining means further determines the degree of oral erosion of the worker in the past,
In addition to the detection results, the providing means further compares the past and present degrees of acid erosion, and provides the acid erosion detection system to provide the set provision destination with the degree of progress of acid erosion. .

According to the invention according to the third characteristic, in the acid erosion detection system which is the invention according to the first characteristic, the image acquisition means further includes past information of the worker who is the subject of special dental checkup. Obtaining an intraoral image, the determining means further determines the degree of acid erosion in the oral cavity of the worker in the past, and the providing means further determines the degree of acid erosion in the oral cavity of the worker in the past, in addition to the detection results. The degree of erosion is compared and the degree of progress of erosion is provided to the set provider.

The invention according to the fourth characteristic is an erosion disease detection system which is the invention according to any one of the first to third characteristics,
The determining means further determines the degree of oral cancer of the worker,
The extraction means further extracts workers whose determined degree of oral cancer satisfies a predetermined condition;
The detection means further provides an erosion disease detection system that detects whether or not the extracted oral cancer of the worker is caused by the workplace, based on the acquired workplace information.

According to the invention according to the fourth characteristic, in the acid erosion detection system which is the invention according to any one of the first to third characteristics, the determining means further comprises: The extracting means further extracts workers whose determined degree of oral cancer satisfies a predetermined condition, and the detecting means further extracts workers whose degree of oral cancer satisfies a predetermined condition, and the detecting means further extracts workers whose degree of oral cancer satisfies a predetermined condition. Detect whether oral cancer in workers who have been diagnosed with cancer is caused by the workplace.

The invention according to the fifth characteristic is an erosion disease detection system which is the invention according to any one of the first to fourth characteristics,
Dietary information acquisition means for acquiring dietary information of the worker who is subject to the special dental checkup;
Equipped with
The detection means provides an acid erosion detection system that detects whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information and dietary information.

According to the invention according to the fifth feature, in the acid erosion detection system which is the invention according to any one of the first to fourth features, the worker who is subject to the special dental checkup has a food intake system. dietary information acquisition means for acquiring lifestyle information, and the detection means determines whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information and the dietary information. Detect whether or not.

The invention according to the sixth characteristic is an erosion disease detection system which is the invention according to any one of the first to fifth characteristics,
Symptom information acquisition means for acquiring symptom information of the worker who is subject to the special dental checkup;
Equipped with
The detection means provides an acid erosion detection system that detects whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information and the symptom information.

According to the invention according to the sixth feature, in the acid erosion detection system which is the invention according to any one of the first to fifth features, the symptoms of the worker who is the subject of the special dental checkup. symptom information acquisition means for acquiring information, and the detection means determines whether or not the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information and the symptom information. To detect.

The invention according to the seventh characteristic is an erosion disease detection system which is the invention according to any one of the first to sixth characteristics,
The detection means further determines that, based on the acquired workplace information, if a plurality of the extracted workers with acid erosion belong to the same workplace, the acid erosion of the worker is caused by the workplace. An acid erosion detection system is provided.

According to the invention according to the seventh feature, in the acid erosion detection system which is the invention according to any one of the first to sixth features, the detection means further comprises: If a plurality of the extracted workers with acid erosion belong to the same workplace, the acid erosion of the workers is detected as being caused by the workplace.

The invention according to the eighth characteristic is an erosion disease detection system which is the invention according to any one of the first characteristic to the seventh characteristic,
The determination means further includes an erosion detection system that generates a trained model through supervised learning using intraoral images of erosion, and uses the generated trained model to analyze the intraoral images. provide.

According to the invention according to the eighth characteristic, in the acid erosion detection system which is the invention according to any one of the first to seventh characteristics, the determining means further includes an intraoral image of the dental erosion. A trained model is generated by the used supervised learning, and the generated trained model is used for analyzing the intraoral image.

The invention according to the ninth characteristic is an erosion disease detection system which is the invention according to any one of the first characteristic to the eighth characteristic,
a guide means for guiding an intraoral photographing aid to be set on a terminal for photographing an intraoral image of the worker who is subject to the special dental checkup;
Equipped with
The image acquisition means provides an erosion detection system that acquires an intraoral image of the worker taken by the terminal.

According to the invention according to the ninth feature, in the acid erosion detection system which is the invention according to any one of the first to eighth features, the oral cavity of the worker who is the subject of the special dental checkup is provided. A guide means for guiding an intraoral photographing aid to be set on a terminal for photographing an intraoral image, and the image acquisition means acquires an intraoral image of the worker photographed with the terminal. .

The invention according to the tenth feature is:
For the acid erosion detection system that detects acid erosion,
obtaining an intraoral image of a worker undergoing a special dental checkup;
analyzing the intraoral image to determine the degree of erosion in the worker's oral cavity;
extracting workers whose determined degree of acid erosion satisfies predetermined conditions;
At least a step of acquiring workplace information of the workplace where the extracted worker is working;
Detecting whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information;
a step of providing the detection result to a set provision destination;
Provided is a method for detecting acid erosion, comprising:

The invention according to the eleventh feature is:
A computer that works with the acid erosion detection system that detects acid erosion,
obtaining an intraoral image of a worker undergoing a special dental checkup;
analyzing the intraoral image to determine the degree of erosion in the worker's oral cavity;
extracting workers whose determined degree of acid erosion satisfies predetermined conditions;
At least a step of acquiring workplace information of the workplace where the extracted worker is working;
Detecting whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information;
providing the result of the detection to the set provider;
Provides a computer readable program for executing.

According to the present invention, there is provided an acid erosion detection system capable of analyzing intraoral images of workers who are subject to special dental checkups and detecting whether or not acid erosion is caused by the workplace. It becomes possible to provide a caries detection method and its program. By analyzing the intraoral images of workers undergoing special dental checkups and detecting whether or not they have acid erosion caused by the workplace, it is more efficient than having dentists examine each employee individually. This makes it possible to detect acid erosion. For workers and dentists who are subject to special dental checkups, this has the advantage of saving time for medical examinations and associated travel and waiting times. In addition, by comparing with past images, we can provide information on the degree and progression of acid erosion, and obtain information to improve the accuracy of detecting whether acid erosion is caused by the workplace, making it more convenient. It is possible to increase the

1 is a diagram illustrating an overview of an erosion disease detection system 1. FIG. 1 is a diagram showing a functional configuration of an erosion disease detection system 1. FIG. It is a flowchart figure showing the acid erosion detection process which the acid erosion detection system 1 performs. FIG. 2 is a diagram showing a functional configuration when the erosion disease detection system 1 performs dietary information acquisition processing. FIG. 2 is a diagram showing a functional configuration when the erosion disease detection system 1 performs symptom information acquisition processing. It is a diagram showing a functional configuration when the acid erosion detection system 1 performs guide processing. 3 is a diagram illustrating an example of a screen that displays the result of detecting whether or not the acid erosion of worker 2 is caused by workplace 3 on destination terminal 400. FIG. FIG. 4 is a diagram illustrating an example of a screen that displays on the destination terminal 400 the results of detecting whether the acid erosion of the worker 2 is caused by the workplace 3 and the difference in the degree of the acid erosion between the past and the present. . 3 is a diagram illustrating an example of a screen that displays the result of detecting whether or not the acid erosion of the worker 2 is caused by the workplace 3 and the degree of progress of the acid erosion on the destination terminal 400. FIG. 2 is a diagram illustrating an example of a screen displayed on the worker terminal 200 to obtain dietary information of the worker 2. FIG. 2 is a diagram showing an example of a screen displayed on the worker terminal 200 to obtain symptom information of the worker 2. FIG. This is an example of a guide screen that guides the worker to set the intraoral photographing aid on the worker terminal 200 for photographing intraoral images.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, modes for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings. In the subsequent figures, the same numbers or symbols are given 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 erosion disease detection system 1. As shown in FIG. The acid erosion detection system 1 is an erosion disease detection system that detects acid erosion in the worker 2 and detects whether the worker 2's acid erosion is caused by a workplace factor. Acid erosion is a condition in which teeth dissolve due to acid, and is different from tooth decay, which is caused by caries bacteria such as Streptococcus mutans. The causes of acid erosion are endogenous, caused by acid coming from the body into the mouth, and exogenous, caused by the intake of highly acidic foods and other substances from the outside. Furthermore, when working with certain hazardous materials or working in a hazardous work environment, acid erosion can occur due to hazardous materials. Therefore, workers who regularly work in places that emit gas, vapor, or dust of hydrochloric acid, nitric acid, sulfuric acid, sulfurous acid, hydrogen fluoride, yellow phosphorous, and other substances harmful to teeth or their supporting tissues are subject to dental erosion. Because there is a high possibility that this will occur, special dental examinations are required. The acid erosion detection system 1 shall comply with the Industrial Safety and Health Act. In FIG. 1, worker 2 is a worker who is subject to special dental examination and works at workplace 3. The workplace 3 shall be a place that emits gases, vapors or dusts that are harmful to teeth or their supporting tissues. In addition, the provider 4 is a provider that provides the acid erosion detection results, and is assumed to be the worker 2 himself, the manager belonging to the workplace 3 where the worker 2 works, the dentist 6 specified by the workplace 3, etc. There is. The acid erosion detection system 1 includes a computer 100 that acquires intraoral images of a worker 2 who is subject to a special dental checkup and detects acid erosion, and a worker terminal 200 owned by the worker 2. It is assumed that the workplace terminal 300 owned by the workplace 3 and the provider terminal 400 owned by the provider 4 are capable of communicating via the network 5. Details of these configurations will be described later.

First, the image acquisition unit 101 of the computer 100 acquires an intraoral image of the worker 2 who is the subject of a special dental checkup (step S01). It is assumed that the intraoral image here has sufficient resolution to determine whether or not the worker 2 has acid erosion, and that the state of the entire oral cavity of the worker 2 can be confirmed. The number of images may be not only one but multiple, and it is sufficient that the state of the entire oral cavity can be confirmed by combining images taken from various angles. The intraoral image is acquired from, for example, the worker terminal 200 owned by the worker 2. The image may be taken with the camera function of the worker terminal 200, or an image taken with an external device such as a digital camera may be transmitted via the worker terminal 200. Alternatively, the workplace 3 may take an intraoral image of the worker 2 and transmit it via the workplace terminal 300, or the dentist 6 designated by the workplace 3 may take an intraoral image of the worker 2 and send it to the dentist. It may also be transmitted via the dentist terminal 600 owned by No. 6. Here, each terminal may be a combination of a digital camera or a computer capable of transmitting the data, a digital camera with a communication function, a smartphone, a tablet terminal, etc. It may also be an electronic device such as a mobile phone or a wearable terminal.

Next, the determination unit 102 of the computer 100 analyzes the intraoral image acquired in step S01, and determines the degree of dental erosion in the oral cavity of the worker 2 (step S02). Specifically, the degree of acid erosion is determined by comparing the intraoral image of the acid erosion with the acquired intraoral image of the worker 2. For example, the determination unit 102 may generate a trained model in advance through supervised learning using intraoral images of dental erosion, and use the generated trained model to analyze the acquired intraoral images. It is possible to judge the degree of acid erosion with high accuracy. Supervised learning using intraoral images of dental erosion involves machine learning using annotated intraoral images of dental erosion. The accuracy of the trained model may be further improved by using the intraoral image of the worker 2 used for this judgment in supervised learning with the permission of the worker 2. Here, when analyzing the intraoral image, the degree of dental erosion in the oral cavity is determined by excluding the possibility of tooth decay. In particular, since early acid erosion and tooth decay are similar, it is necessary to rule out the possibility of tooth decay. When performing supervised learning, images of easily mistaken cavities may be used to perform machine learning that can exclude cavities.

Next, the extraction unit 103 of the computer 100 extracts workers 2 whose determined degree of acid erosion satisfies a predetermined condition (step S03). It is assumed that the predetermined conditions here can be set in advance by the acid erosion detection system 1. For example, the settings can be made by the worker 2, the workplace 3, the dentist 6, the administrator of the erosion detection system 1, etc. The predetermined conditions are, for example, ``When the degree of dissolution of the tooth exceeds a threshold value'', ``When the degree of sagging of the mucous membrane in the oral cavity exceeds a threshold value'', ``When dents or white spots on the tooth surface are observed here and there. ”, “When the roundness of the tip of the tooth exceeds the threshold”, “When the transparency of the tooth exceeds the threshold”, “When hypersensitivity exceeds the threshold”, “When the tooth enamel dissolves and the dentin ``When the visible area of exposed color exceeds the threshold value'', ``When the number of crater dents on the tooth exceeds the threshold value'', ``When the threshold value is exceeded according to the E0 to E4 standards set by the dental association "Time" etc. can be mentioned. Here, the predetermined conditions are ``E0 healthy'', ``E+ questionable'', ``E1 minor'', ``E2 mild'', ``E3 moderate'', and ``E4 severe'', which are the dental association diagnostic criteria for acid erosion. Assume that "E+ interrogative form" or higher is set, and one worker 2 with "E4 severe" is extracted.

Next, the workplace information acquisition unit 104 of the computer 100 acquires the workplace information of the workplace 3 where the worker 2 extracted in step S03 is working (step S04). The workplace information here includes: what types of substances are harmful to teeth or their supporting tissues, whether the harmful substances are gases, vapors, or dust, and how many hours per day you work in areas where harmful substances are generated. It is assumed that the information is related to work, such as how many minutes it takes and how often. The workplace information is obtained from, for example, the workplace terminal 300 owned by the workplace 3.

Next, the detection unit 105 of the computer 100 detects whether the extracted acid erosion of the worker 2 is caused by the workplace 3 based on the workplace information acquired in step S04 (step S05). Here, the detection unit 105 detects whether the type of substance harmful to the teeth or its supporting tissue is a substance that is more likely to cause acid erosion, the harmful substance is easily inhaled, or the location where the harmful substance is generated. If the working hours are long or the working frequency is high, the acid erosion caused by workplace 3 is more likely to be detected. A threshold value may be set for each element, and when any one exceeds the threshold value, it may be detected as a workplace factor. Further, here, instead of only making a binary determination of whether or not it is a workplace factor, the probability of the workplace factor may be presented as a percentage or in several stages.

Finally, the providing unit 106 of the computer 100 provides the result of the detection in step S05 to the set provider 4 (step S06). Here, the provision destination 4 is the worker 2, the manager belonging to the workplace 3 where the worker 2 works, the dentist 6 designated by the workplace 3, etc. The provision method may include sending a notification to the provision destination terminal 400 owned by the provision destination 4 via email, SNS, or an application, or printing and mailing the information, and there is no particular restriction on the provision method. If the provider 4 is the worker 2, the worker 2 may be urged to see a dentist. In addition, if the provider 4 is a manager belonging to the workplace 3 where the worker 2 works, the worker 2 may also be notified to encourage the worker 2 to see a dentist, or a dentist may be sent to the workplace. You can also call it. In addition, if the recipient 4 is the dentist 6, the intraoral images of the worker 2 will also be provided so that the dentist 6 can use them as a reference when diagnosing the dental erosion of the worker 2. You can.

FIG. 7 is a diagram showing an example of a screen for displaying the result of detecting whether or not the acid erosion of the worker 2 is caused by the workplace 3 on the destination terminal 400. Here, it is assumed that the provider 4 is the 2 workers themselves. The output section of the destination terminal 400 displays the following message: ``We will notify you of your acid erosion detection results.The degree of acid erosion is [E4 severe].Additionally, your acid erosion has been detected as being caused by a workplace factor.'' <Diagnostic photo> This is an example of displaying "We recommend that you visit a dentist. Dental reservation: https://***.***.jp". In this way, an intraoral image may be displayed as the diagnostic photo 701, along with the degree of acid erosion and whether or not it is caused by workplace factors, or text or a URL encouraging a visit to the dentist may be displayed. Good too.

According to such an erosion detection system 1, the dentist does not examine each person individually, but instead acquires and analyzes intraoral images of the worker 2 who is the subject of a special dental checkup. It is possible to provide an acid erosion detection system that efficiently detects whether or not acid erosion is caused by the workplace 3. In addition, the detection results can be provided to the worker 2 and the manager of the workplace 3 where worker 2 works to encourage him or her to undergo a medical examination, and provided to the dentist 6 etc. so that appropriate diagnosis of acid erosion can be made. It becomes possible to be of help.
[Functional configuration]
The functional configuration of the erosion detection system 1 will be explained based on FIG. 2. The acid erosion detection system 1 includes a computer 100, a worker terminal 200 communicably connected to the computer 100 via a network 5, a workplace terminal 300, and a destination terminal 400. The computer 100 is not limited to an actual device, but may be a virtual device.

The computer 100 is a computer, a personal computer, or the like having a server function managed by an administrator who provides the acid erosion detection system 1, and includes the plurality of worker terminals 200, the workplace terminal 300, and the destination terminal 400. It is connected to enable data communication via a network 5 such as a public line network, and performs necessary data transmission and reception and various processing.

For example, the computer 100 may be implemented by one computer, or may be implemented by multiple computers such as a cloud computer. A cloud computer in this specification includes one that uses any computer in a scalable manner to perform a certain function, and one that includes multiple functional configurations to realize a certain system, and the functions can be freely combined. It can be any of the following.

The computer 100 includes, as a control unit 110 (not shown), a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only Memory). ), etc., and a communication section (not shown) The device includes a device that enables communication with other terminals, devices, etc., such as a Wi-Fi (Wireless-Fidelity) compatible device compliant with IEEE 802.11. The computer 100 also includes a data storage unit (not shown) such as a hard disk, a semiconductor memory, a storage medium, a memory card, or the like. Further, the computer 100 includes various devices and the like that execute various processes as a processing unit (not shown).

In the computer 100, by reading a predetermined program, the control unit cooperates with the communication unit, the storage unit, and the processing unit to perform the image acquisition unit 101, the determination unit 102, the extraction unit 103, the workplace information acquisition unit 104, and the detection unit. 105, realizing the providing unit 106.

The worker terminal 200 is a terminal owned by the worker 2. The worker terminal 200 includes a CPU, GPU, RAM, ROM, etc. as a worker terminal control section (not shown), similar to the control section in the computer 100 described above. The worker terminal 200 includes a device as a communication unit (not shown) that enables communication with other terminals, devices, and the like. The worker terminal 200 also includes an input/output unit (not shown), such as an input/output device that inputs and outputs data, images, audio, and the like. The worker terminal 200 also includes a data storage unit (not shown) such as a hard disk, a semiconductor memory, a storage medium, a memory card, or the like. Further, the worker terminal 200 includes various devices and the like that execute various processes as a processing unit (not shown). The worker terminal 200 may include a photographing device such as a camera for photographing an intraoral image of the worker 2.

The workplace terminal 300 is a terminal owned by the workplace 3 to which the worker 2 belongs. It is assumed that the terminal owned by the workplace 3 is a terminal that can be used by the manager and employees of the workplace 3. A workplace terminal control section (not shown) includes a CPU, GPU, RAM, ROM, etc., similar to the control section in the computer 100 described above. The workplace terminal 300 includes a device as a communication unit (not shown) that enables communication with other terminals, devices, and the like. Further, the workplace terminal 300 includes an input/output unit (not shown) such as an input/output device that inputs and outputs data, images, audio, and the like. Further, the photographer terminal 300 includes a data storage unit (not shown) such as a hard disk, a semiconductor memory, a storage medium, a memory card, or the like. Further, the workplace terminal 300 includes various devices and the like that execute various processes as a processing unit (not shown).

The provider terminal 400 is a terminal owned by the provider 4. The provider 4 is the provider who provides the acid erosion detection results, and is the worker 2, the manager belonging to the workplace 3 where the worker 2 works, the dentist 6 specified by the workplace 3, etc. . When the provider 4 is the worker 2, the provider terminal 400 may be the same as the worker terminal 200. Further, when the provider 4 is a manager belonging to the workplace 3 where the worker 2 works, the provider terminal 400 may be the same as the workplace terminal 300. When the provider 4 is a dentist 6, the provider terminal 400 refers to a dentist terminal 600 (not shown) owned by the dentist 6. The destination terminal 400 includes a CPU, GPU, RAM, ROM, etc. as a destination terminal control unit (not shown), similar to the control unit in the computer 100 described above. The provider terminal 400 includes a device as a communication unit (not shown) that enables communication with other terminals, devices, and the like. The destination terminal 400 also includes an input/output unit (not shown), such as an input/output device that inputs and outputs data, images, audio, and the like. The destination terminal 400 also includes a data storage unit (not shown) such as a hard disk, a semiconductor memory, a storage medium, a memory card, or the like. Further, the provision destination terminal 400 includes various devices and the like that execute various processes as a processing unit (not shown).

[Acid erosion detection processing]
Based on FIG. 3, the erosion detection process executed by the computer 100 will be described. FIG. 3 is a flowchart showing the erosion detection process executed by the erosion detection system 1. The processing executed by each of the above-mentioned units will be explained along with this processing.

First, the image acquisition unit 101 of the computer 100 acquires an intraoral image of the worker 2 who is the subject of a special dental checkup (step S301). It is assumed that the intraoral image here has sufficient resolution to determine whether or not the worker 2 has acid erosion, and that the state of the entire oral cavity of the worker 2 can be confirmed. There may be not only one image but also multiple images, and it is sufficient that the state of the entire oral cavity can be confirmed by combining images taken from various angles. The intraoral image is acquired from, for example, the worker terminal 200 owned by the worker 2. The image may be taken using the camera function of the worker terminal 200, or an image taken using an external device such as a digital camera may be transmitted via the worker terminal 200. Alternatively, the workplace 3 may take an intraoral image of the worker 2 and transmit it via the workplace terminal 300, or the dentist 6 designated by the workplace 3 may take an intraoral image of the worker 2 and send it to the dentist. It may also be transmitted via the dentist terminal 600 owned by No. 6.

Next, the determination unit 102 of the computer 100 analyzes the intraoral image acquired in step S301, and determines the degree of dental erosion in the oral cavity of the worker 2 (step S302). Specifically, the degree of acid erosion is determined by comparing the intraoral image of the acid erosion with the acquired intraoral image of the worker 2. For example, the determination unit 102 may generate a trained model in advance through supervised learning using intraoral images of dental erosion, and use the generated trained model to analyze the acquired intraoral images. It is possible to judge the degree of acid erosion with high accuracy. Supervised learning using intraoral images of dental erosion involves machine learning using annotated intraoral images of dental erosion. The accuracy of the trained model may be further improved by using the intraoral image of the worker 2 used for this judgment in supervised learning with the permission of the worker 2. Here, when analyzing the intraoral image, the degree of dental erosion in the oral cavity is determined by excluding the possibility of tooth decay. In particular, since early acid erosion and tooth decay are similar, it is necessary to rule out the possibility of tooth decay. When performing supervised learning, images of easily mistaken cavities may be used to perform machine learning that can exclude cavities.

Next, the extraction unit 103 of the computer 100 extracts workers 2 whose determined degree of acid erosion satisfies a predetermined condition (step S303). It is assumed that the predetermined conditions here can be set in advance by the acid erosion detection system 1. For example, the settings can be made by the worker 2, the workplace 3, the dentist 6, the administrator of the erosion detection system 1, etc. The predetermined conditions are, for example, ``When the degree of dissolution of the tooth exceeds a threshold value'', ``When the degree of sagging of the mucous membrane in the oral cavity exceeds a threshold value'', ``When dents or white spots on the tooth surface are observed here and there. ”, “When the roundness of the tip of the tooth exceeds the threshold”, “When the transparency of the tooth exceeds the threshold”, “When hypersensitivity exceeds the threshold”, “When the tooth enamel dissolves and the dentin ``When the visible area of exposed color exceeds the threshold value'', ``When the number of crater dents on the tooth exceeds the threshold value'', ``When the threshold value is exceeded according to the E0 to E4 standards set by the dental association "Time" etc. can be mentioned. Here, the predetermined conditions are ``E0 healthy'', ``E+ questionable'', ``E1 minor'', ``E2 mild'', ``E3 moderate'', and ``E4 severe'', which are the dental association diagnostic criteria for acid erosion. Assume that "E+ interrogative form" or higher is set, and one worker 2 with "E4 severe" is extracted.

Next, the workplace information acquisition unit 104 of the computer 100 acquires the workplace information of the workplace 3 where the worker 2 extracted in step S303 is working (step S304). The workplace information here includes: what types of substances are harmful to teeth or their supporting tissues, whether the harmful substances are gases, vapors, or dust, and how many hours per day you work in areas where harmful substances are generated. It is assumed that the information is related to work, such as how many minutes it takes and how often. The workplace information is obtained from, for example, the workplace terminal 300 owned by the workplace 3. It is also possible to have the worker 2 input the workplace information into the worker terminal 200 and obtain it via the worker terminal 200. Further, if the intraoral image acquisition source and the workplace information acquisition source are the same, the workplace information acquisition may be performed in conjunction with the process in step S301.

Next, the detection unit 105 of the computer 100 detects whether the extracted acid erosion of the worker 2 is caused by the workplace 3 based on the acquired workplace information (step S305). Here, the detection unit 105 detects whether the type of substance harmful to the teeth or its supporting tissue is a substance that is more likely to cause acid erosion, the harmful substance is easily inhaled, or the location where the harmful substance is generated. If the working hours are long or the working frequency is high, the acid erosion caused by workplace 3 is more likely to be detected. A threshold value may be set for each element, and when any one exceeds the threshold value, it may be detected as a workplace factor. Further, here, instead of only making a binary determination of whether or not it is a workplace factor, the probability of the workplace factor may be presented as a percentage or in several stages.

Finally, the providing unit 106 of the computer 100 provides the result of the detection in step S305 to the set provider 4 (step 306). Here, the provision destination 4 is the worker 2, the manager belonging to the workplace 3 where the worker 2 works, the dentist 6 designated by the workplace 3, etc. The provision method may include sending a notification to the provision destination terminal 400 owned by the provision destination 4 via email, SNS, or an application, or printing and mailing the information, and there is no particular restriction on the provision method. If the provider 4 is the worker 2, the worker 2 may be urged to see a dentist. In addition, if the provider 4 is a manager belonging to the workplace 3 where the worker 2 works, the worker 2 may also be notified to encourage the worker 2 to see a dentist, or a dentist may be sent to the workplace. You can also call it. In addition, if the recipient 4 is the dentist 6, the intraoral images of the worker 2 will also be provided so that the dentist 6 can use them as a reference when diagnosing the dental erosion of the worker 2. You can.

FIG. 7 is a diagram showing an example of a screen for displaying the result of detecting whether or not the acid erosion of the worker 2 is caused by the workplace 3 on the destination terminal 400. Here, it is assumed that the provider 4 is the 2 workers themselves. The output section of the destination terminal 400 displays the following message: ``We will notify you of your acid erosion detection results.The degree of acid erosion is [E4 severe].In addition, your acid erosion has been detected as being caused by a workplace factor.'' <Diagnostic photo> This is an example of displaying ``We recommend that you visit a dentist.Dental reservation: https://***.***.jp.'' In this way, an intraoral image may be displayed as a diagnostic photo 701, along with the degree of acid erosion and whether or not it is caused by workplace factors, or text or URL encouraging a visit to the dentist may be displayed. Good too.

Further, FIG. 8 shows a screen displaying on the destination terminal 400 the results of detecting whether the acid erosion of worker 2 is caused by the workplace 3 and the difference in the degree of acid erosion between the past and the present. It is a figure showing an example. Here, it is assumed that the provider 4 is the 2 workers themselves. The output section of the destination terminal 400 displays the message "We will inform you of your acid erosion detection results. In the photo taken on May 22, 2022, the degree of acid erosion is [E2 mild]. Taken on December 13, 2021. In the photo, the degree of acid erosion was [E1 slight].Also, your acid erosion was detected as [not caused by workplace factors].Be careful of the following:・Acidic foods and drinks The illustration shows an example of a message that reads, "Avoid brushing your teeth after meals, gargle, chew your teeth thoroughly to produce saliva, use fluoride toothpaste, and consult your dentist if you have any concerns." In this way, in addition to determining the degree of acid erosion and whether it is caused by workplace factors, you should also be aware of the degree of previous acid erosion and what to be careful about in the case of acid erosion that is not caused by workplace factors. It is also possible to display cautionary information such as, "If the patient is suffering from acid erosion, which is not caused by workplace factors," the patient may display a message urging him or her to consult a dentist as necessary. Specific dental examinations need to be performed once every six months after starting work, so if it is the second or subsequent examination, images from the previous one will exist. By providing differences in the degree of acid erosion, it is possible to obtain the effect of urging the worker 2 to be more careful about acid erosion. In FIG. 8, in order to display the degree of difference from past images, the image acquisition unit 101 needs to further acquire past intraoral images of worker 2 in step S301 of the flowchart in FIG. be. Furthermore, in step S302, the determining unit 102 needs to further determine the degree of oral erosion of the worker 2 in the past. Furthermore, in step S306, the providing unit 106 needs to provide the provider 4 with the difference in the degree of acid erosion between the past and the present, in addition to the detection results.

Further, FIG. 9 is a diagram showing an example of a screen that displays the result of detecting whether the acid erosion of the worker 2 is caused by the workplace 3 and the degree of progress of the acid erosion on the provider terminal 400. be. Here, it is assumed that the provider 4 is the 2 workers themselves. The output section of the destination terminal 400 displays the message "We will inform you of your acid erosion detection results. In the photo taken on April 4, 2022, the degree of acid erosion is [E3 moderate]. October 18, 2021. In the photograph taken, the degree of acid erosion was [E1 slight].The degree of progression over the past six months is [40%].Also, your acid erosion was detected to be [workplace-related]. The following illustration shows an example of displaying ``We recommend that you visit a dentist.Dental reservation: https://***.***.jp''. In this way, it is possible to display the degree of erosion, whether it is due to workplace factors, as well as the degree of progression of acid erosion since the last time, or to display text or URLs that encourage people to see a dentist. You may. Specific dental examinations need to be performed once every six months after starting work, so if it is the second or subsequent examination, images from the previous one will exist. By providing the degree of progress of the degree of acid erosion, it is possible to obtain the effect of urging the worker 2 to be more careful about the corrosion. In FIG. 9, in order to display the degree of difference from past images, the image acquisition unit 101 needs to further acquire past intraoral images of worker 2 in step S301 of the flowchart in FIG. be. Furthermore, in step S302, the determining unit 102 needs to further determine the degree of oral erosion of the worker 2 in the past. Further, in step S306, in addition to the detection results, the providing unit 106 needs to further compare the past and present degrees of acid erosion, and provide the provider 4 with the degree of progress of acid erosion.

Returning to FIG. 3, in step S306, after providing the detection result to provider 4, feedback is received from provider 4 as to whether the detection result was correct, and in step S302, the intraoral image of worker 2 used for judgment is By performing annotation that reflects the feedback results and using it for supervised learning, it is possible to further improve the accuracy of the trained model. If you have mistakenly determined that tooth decay is due to tooth decay, this learning can be expected to help you make a more appropriate judgment between tooth decay and tooth erosion.

In FIG. 3, only the detection of acid erosion is described, but oral cancer can also be detected in the same way. When detecting oral cancer, the determining unit 102 further determines the degree of oral cancer of the worker 2 in step S302. Further, in step S303, the extraction unit 103 further extracts workers whose degree of oral cancer determined in step S302 satisfies a predetermined condition. In step S305, the detection unit 105 further detects whether the oral cancer of worker 2 extracted in step S303 is caused by workplace 4, based on the workplace information acquired in step S304. By performing processing in each processing section in this manner, it becomes possible to detect not only acid erosion but also oral cancer.

The above is the acid erosion detection process.

According to such an erosion detection system 1, the dentist does not examine each person individually, but instead acquires and analyzes intraoral images of the worker 2 who is the subject of a special dental checkup. It is possible to provide an acid erosion detection system that efficiently detects whether or not acid erosion is caused by the workplace 3. In addition, the detection results can be provided to the worker 2 and the manager of the workplace 3 where worker 2 works to encourage him or her to undergo a medical examination, and provided to the dentist 6 etc. so that appropriate diagnosis of acid erosion can be made. It becomes possible to be of help. Furthermore, by performing supervised learning using intraoral images that reflect feedback, it is possible to further improve the accuracy of determining the degree of erosion. Moreover, it is applicable not only to the detection of acid erosion but also to the detection of oral cancer.

[Dietary information acquisition processing]
FIG. 4 is a diagram showing a functional configuration when the erosion disease detection system 1 performs dietary information acquisition processing. In addition to the configuration shown in FIG. 2, the computer 100 realizes the dietary information acquisition section 107 by having the control section read a predetermined program, thereby cooperating with a communication section, a storage section, and a processing section.

FIG. 10 is a diagram showing an example of a screen displayed on the worker terminal 200 in order to obtain the dietary information of the worker 2. The dietary information acquisition unit 107 acquires the dietary information of the worker 2 who is the subject of a special dental checkup at the timing of step S301 in the flowchart of FIG. 3 or at any timing before step S305. . Then, at the timing of step S305, the detection unit 105 detects whether the extracted acid erosion of the worker 2 is caused by the workplace, based on the acquired workplace information and the acquired eating habits information. As shown in the example in Figure 10, Worker 2 was told, ``□I like sour foods.I often drink sports drinks.I often eat citrus fruits such as oranges and lemons.□I often drink vinegar and vinegar drinks.□After meals. By checking the applicable option such as "I often don't brush my teeth" and selecting the "Send Answer" button 1001, the dietary information acquisition unit 107 of the computer 100 acquires dietary information. The dietary information is used to determine whether the dietary habits of worker 2 satisfy external factors that cause acid erosion. The more Worker 2's eating habits satisfy the external factors that cause acid erosion, that is, the more checks are checked, the lower the probability that Worker 2's acid erosion is caused by the workplace.

The above is the dietary information information acquisition process.

By performing the eating habits information acquisition process in this manner, it becomes possible to further improve the accuracy of determining whether the acid erosion disease of the worker 2 is a workplace factor.

[Symptom acquisition process]
FIG. 5 is a diagram showing a functional configuration when the erosion disease detection system 1 performs symptom information acquisition processing. In addition to the configuration shown in FIG. 2, the computer 100 realizes the symptom acquisition unit 108 by having the control unit read a predetermined program, thereby cooperating with a communication unit, a storage unit, and a processing unit.

FIG. 11 is a diagram showing an example of a screen displayed on the worker terminal 200 to obtain symptom information of the worker 2. The symptom acquisition unit 108 acquires the symptoms of the worker 2 who is the subject of a special dental checkup at the timing of step S301 or at any timing before step S305 in the flowchart of FIG. Then, at the timing of step S305, the detection unit 105 detects whether the extracted acid erosion of the worker 2 is caused by the workplace, based on the acquired workplace information and the acquired symptoms. As shown in the example in Figure 11, Worker 2 is asked to check the options that apply, such as ``□I have reflux esophagitis.I sometimes experience acid reflux.I often vomit.□I have bulimia.□I have anorexia.'' By attaching the "Send Answer" button 1001 and selecting the "Send Answer" button 1001, the symptom acquisition unit 108 of the computer 100 acquires the symptoms. The symptoms are used to determine whether the symptoms of Worker 2 satisfy the internal factors that cause acid erosion. The more the symptoms of Worker 2 satisfy the internal factors that cause acid erosion, that is, the more checks are checked, the lower the probability that Worker 2's acid erosion is caused by the workplace.

The above is the symptom acquisition process.

By performing the symptom acquisition process in this way, it is possible to further improve the accuracy of determining whether the worker 2's acid erosion is a workplace factor.

[Guide processing]
FIG. 6 is a diagram showing a functional configuration when the acid erosion detection system 1 performs guide processing. In addition to the configuration shown in FIG. 2, the computer 100 realizes the guide section 109 by having the control section read a predetermined program, thereby cooperating with a communication section, a storage section, and a processing section. The guide section 109 displays a guide screen when using the intraoral photographing aid 700 to photograph the intraoral image of the worker 2 . The intraoral imaging aid 700 is an instrument that assists in intraoral imaging, and is assumed to utilize the technology described in Patent Document 1, for example.

FIG. 12 is an example of a guide screen that guides the worker to set the intraoral photographing aid on the worker terminal 200 for photographing intraoral images. The guide unit 109 displays a guide on the terminal that performs the photographing when photographing the intraoral image of the worker 2 at the timing of step S301 in the flowchart of FIG. 3 or at any timing before step S301. Here, a message is displayed on the worker terminal 200 of worker 2 saying, "Please take an intraoral image. Attach the intraoral imaging aid 700 to your terminal and take the image as shown in the figure." , a usage diagram of the intraoral photographing aid 700 is displayed. After checking the display, select the "Close" button 1201 to exit this guide screen.

The above is the guide processing.

In this way, by performing the guide processing to guide the photographing using the intraoral photographing aid 700, it becomes possible to more reliably and appropriately photograph the intraoral image of the worker 2. By acquiring better intraoral images, it is possible to improve the accuracy of determining the degree of erosion.

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. For example, the program may be provided from a computer via a network (SaaS: Software as a Service) or in a cloud service. Further, the program is 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 on a recording device (recording medium) such as a magnetic disk, optical disk, or magneto-optical disk, and provided to the computer from the recording device 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. Furthermore, the effects described in the embodiments of the present invention are merely a list of the most preferable 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 Acid erosion detection system 2 Worker 3 Workplace 4 Target 5 Network 6 Dentist 100 Computer 101 Image acquisition section 102 Judgment section 103 Extraction section 104 Workplace information acquisition section 105 Detection section 106 Provision section 107 Dietary information acquisition section 108 Symptoms Information acquisition unit 109 Guide unit 200 Worker terminal 300 Workplace terminal 400 Recipient terminal 600 Dentist terminal 700 Intraoral photography aid

Claims (11)

An acid erosion detection system that detects acid erosion,
an image acquisition unit that acquires intraoral images of workers who are subject to special dental checkups;
a determination unit that analyzes the intraoral image and determines the degree of dental erosion in the worker's oral cavity;
an extraction unit that extracts workers whose determined degree of acid erosion satisfies a predetermined condition;
At least a workplace information acquisition unit that acquires workplace information of the workplace where the extracted worker is working;
a detection unit that detects whether the extracted acid erosion disease of the worker is caused by the workplace, based on the acquired workplace information;
a provision unit that provides the detection result to a set provision destination;
An acid erosion detection system equipped with The image acquisition unit further acquires past intraoral images of the worker who is subject to special dental checkup,
The determining unit further determines the degree of oral erosion of the worker in the past,
2. The erosion disease detection system according to claim 1, wherein the provision unit further provides the set provision destination with a difference in the degree of erosion between the past and the present in addition to the detection result. The image acquisition unit further acquires past intraoral images of the worker who is subject to special dental checkup,
The determining unit further determines the degree of oral erosion of the worker in the past,
2. The acid erosion method according to claim 1, wherein, in addition to the detection results, the provision unit further compares the past and present degrees of acid erosion, and provides the set provision destination with the degree of progress of acid erosion. disease detection system. The determining unit further determines the degree of oral cancer of the worker,
The extraction unit further extracts workers whose determined degree of oral cancer satisfies a predetermined condition;
The detection unit further detects whether or not the extracted oral cancer of the worker is caused by the workplace, based on the acquired workplace information. Acid erosion detection system. (
a dietary information acquisition unit that acquires dietary information of the workers who are subject to the special dental checkup;
Equipped with
Any one of claims 1 to 4, wherein the detection unit detects whether or not the extracted worker's acid erosion disease is caused by the workplace, based on the acquired workplace information and the dietary information. The acid erosion detection system according to item 1. a symptom information acquisition unit that acquires symptom information of the worker who is subject to the special dental checkup;
Equipped with
Any one of claims 1 to 5, wherein the detection unit detects whether or not the extracted worker's acid erosion disease is caused by the workplace, based on the acquired workplace information and the symptom information. The acid erosion detection system described in section. The detection unit further determines, based on the acquired workplace information, that if a plurality of the extracted workers with acid erosion belong to the same workplace, the acid erosion of the worker is caused by the workplace. The acid erosion detection system according to any one of claims 1 to 6, which detects. The determining unit further generates a trained model through supervised learning using intraoral images of dental erosion, and uses the generated trained model to analyze the intraoral images. 7. The acid erosion detection system according to any one of 7. a guide means for guiding an intraoral photographing aid to be set on a terminal for photographing an intraoral image of the worker who is subject to the special dental checkup;
Equipped with
The erosion disease detection system according to any one of claims 1 to 8, wherein the image acquisition unit acquires an intraoral image of the worker taken by the terminal. For the acid erosion detection system that detects acid erosion,
obtaining an intraoral image of a worker undergoing a special dental checkup;
analyzing the intraoral image to determine the degree of erosion in the worker's oral cavity;
extracting workers whose determined degree of acid erosion satisfies predetermined conditions;
At least a step of acquiring workplace information of the workplace where the extracted worker is working;
Based on the acquired workplace information, detecting whether the extracted worker's acid erosion is caused by the workplace;
providing the result of the detection to a set provider;
A method for detecting acid erosion comprising: A computer that works with the acid erosion detection system that detects acid erosion,
obtaining an intraoral image of a worker undergoing a special dental checkup;
analyzing the intraoral image to determine the degree of erosion in the worker's oral cavity;
extracting workers whose determined degree of acid erosion satisfies predetermined conditions;
At least a step of acquiring workplace information of the workplace where the extracted worker is working;
Detecting whether the extracted worker's acid erosion is caused by the workplace, based on the acquired workplace information;
providing the result of the detection to the set provider;
A computer readable program for executing.