JP7382582B2 - Automatic technical product design system - Google Patents

Description

The present invention relates to a system for automatically designing a dental prosthesis, and particularly to a technique for automatically designing a dental prosthesis based on intraoral images and scanning data.

Various techniques have been proposed for semi-automatically manufacturing a dental prosthesis (hereinafter also referred to as a dental prosthesis) based on images or scanning data obtained by scanning the inside of a patient's oral cavity with a three-dimensional scanner or the like.

Patent Document 1 describes a technique for automatically forming a restoration based on a three-dimensional scan result of a patient's teeth or a dental prosthesis and an electronic data set of a tooth model serving as a model. .

Patent Documents 2 and 3 describe techniques for customizing a dental restoration by arranging several control points on a three-dimensional model of the dental restoration and having the user manually adjust the control points. .

US Patent Application Publication No. 2012/0171642 US Patent Application Publication No. 2016/0103935 US Patent Application Publication No. 2015/0265381

As shown in Patent Documents 1 to 3, in the conventional semi-automatic manufacturing method for dental implants, first an image of the patient's oral cavity is taken or an image obtained by scanning the oral cavity with a three-dimensional scanner, etc. Alternatively, a three-dimensional model of a tooth model is selected based on the scanning data. Next, a dentist or a dental technician (hereinafter simply referred to as a technician) appropriately adjusts the control points of the three-dimensional model of the tooth model, thereby forming a three-dimensional model of the dental prosthesis that is optimized for the patient. Finally, the actual technical object is created by cutting out or 3D printing based on the three-dimensional model data optimized for the patient.

Here, the adjustment of the control points of the three-dimensional model by the dental technician depends solely on the technician's personal know-how. For example, technicians have accumulated a wealth of know-how in adjusting the shape of dental implants in various ways depending on the state of the patient's gingival recession, budget, etc. The fact that the technician has to spend a lot of time on this adjustment work is a factor that prolongs the manufacturing period of the technician.

Furthermore, in the conventional semi-automatic technique for creating a dental workpiece, the form of the workpiece envisioned when the dentist gives instructions is often different from the form of the workpiece actually created by the technician. This is because it is difficult to instruct all the options related to the fabrication of the technical material in the instructions prepared by the dentist, and the instructions are largely at the discretion of the dental technician. Therefore, it would be convenient if there was a way to share the image of the finished product before it is manufactured.

The present invention has been made to solve these problems, and an object of the present invention is to provide an automatic dental prosthesis design system that automatically designs a dental prosthesis based on intraoral images and scanning data.

An automatic dental technique design system according to an embodiment of the present invention is an automatic dental technique design system that designs a dental technique that is optimized for a patient, and includes a scanning unit that acquires three-dimensional data of an affected area; a model creation unit that outputs primary data regarding the result of adjusting a tooth mold base model based on three-dimensional data of the affected area; and outputting secondary data that adjusts the primary data based on data indicating the patient's needs. The present invention is characterized in that it includes a model correction section and a model output section that outputs three-dimensional data of the technical object based on the secondary data.
In the automatic technical product design system according to an embodiment of the present invention, the model correction unit includes a machine learning unit, and the machine learning unit inputs the primary data and data indicating the needs of the patient. a secondary data input unit that inputs the secondary data; and a learning unit that learns the relationship between the primary data, data indicating the needs of the patient, and the secondary data. Features.
In the automatic technical product design system according to an embodiment of the present invention, the model correction unit may calculate the secondary data corresponding to the primary data and the data indicating the patient's needs based on the learning result by the learning unit. It is characterized by outputting.
In the automatic technical product design system according to an embodiment of the present invention, the data indicating the patient's needs includes at least one of the wear condition of the patient's teeth, the condition of the roots, the condition of the gums, and the value measured by an articulator. It is characterized by including one.
In the automatic technical product design system according to an embodiment of the present invention, the model correction unit displays secondary data obtained by adjusting the primary data and a material of the technical material based on data indicating the needs of the patient. It is characterized by outputting data.
In the automatic technical product design system according to an embodiment of the present invention, the secondary data input section further inputs data indicating the material of the technical material, and the learning section inputs data indicating the primary data and the needs of the patient. The present invention is characterized in that a relationship between data indicating the secondary data and data indicating the material of the technical object is learned.

According to the present invention, it is possible to provide an automatic dental implant design system that automatically designs a dental implant based on intraoral images and scanning data.

1 is a block diagram showing the configuration of a technical object automatic design system 1. FIG. 1 is a block diagram showing the configuration of a machine learning unit 100. FIG. 2 is a block diagram showing the configuration of an instruction book issuing system 200. FIG. 2 is a flowchart showing the operation of the instruction book issuing system 200. 2 is a diagram showing an example of a screen of the dental clinic interface unit 210. FIG. 2 is a diagram showing an example of a screen of the dental clinic interface unit 210. FIG. 2 is a diagram showing an example of a screen of the dental clinic interface unit 210. FIG. 2 is a diagram showing an example of a screen of the dental clinic interface unit 210. FIG. 3 is a diagram showing an example of a screen of the dental laboratory interface section 230. FIG. 3 is a diagram showing an example of a screen of the dental laboratory interface section 230. FIG. 2 is a diagram showing an example of a screen of the dental clinic interface unit 210. FIG. FIG. 3 is a diagram showing an example of status information. It is a figure which shows an example of an alias list. It is a figure showing an affected part. 1 is a flowchart showing the operation of the automatic technical object design system 1. FIG. 1 is a flowchart showing the operation of the automatic technical object design system 1. FIG.

Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. First, the configuration of an automatic technical object design system 1 according to an embodiment of the present invention will be described using the block diagram of FIG.

The automatic technical product design system 1 is typically an information processing system in which a central processing unit (CPU) executes software read from a storage device to implement predetermined processing. The automatic technical product design system 1 may be configured by a single information processing device, or may be configured by a plurality of information processing devices performing processing in a distributed manner.

The automatic technical object design system 1 includes a scanning section 11 , a model creation section 12 , a model modification section 13 , and a model output section 14 . These processing units are logically realized by the CPU executing software.

The scanning unit 11 scans the affected area (the space in the oral cavity where the dental prosthesis is attached, and is surrounded by surrounding teeth and gums. Typically, the affected area is a shaved tooth and its gums, or the gums of a missing tooth, and its surroundings). It includes a three-dimensional scanner for acquiring three-dimensional data of the tooth (which is the space surrounded by the adjacent and opposing teeth and their gums). For example, the scanning unit 11 scans a plaster model of the affected area using a stationary three-dimensional scanner. Alternatively, the scanning unit 11 directly scans the affected area in the oral cavity using a hand-held intraoral scanner. The three-dimensional data is data indicating the three-dimensional shape of the affected area, and is typically a set of three-dimensional coordinate values of multiple points. Note that when using an intraoral scanner, it may be possible to obtain information not only on the shape of teeth and gums but also on their color.

Alternatively, the scanning unit 11 includes a camera for acquiring a two-dimensional image of the affected area. The scanning unit 11 may directly photograph the affected area or may photograph a plaster model. It is desirable that two-dimensional images be taken from multiple angles. The scanning unit 11 constructs three-dimensional data of the affected area using a known technique based on a plurality of captured two-dimensional images. Note that when directly photographing the affected area, it may be possible to obtain not only the shape but also the color information of the teeth and gums.

The model creation unit 12 has a library that stores in advance a plurality of three-dimensional data (hereinafter referred to as base models) of tooth impressions that serve as a standard when creating a dental prosthesis. The model creation unit 12 compares the three-dimensional data of the affected area created by the scanning unit 11 with base models in the library, and selects the base model with the highest degree of fit. For example, the model creation unit 12 determines the size of the defective part in the three-dimensional data of the affected area, and selects the base model with the closest size. As shown in FIG. 12, the size of the defective site can be determined, for example, by calculating the distance D between adjacent teeth on both sides, the height H from the gums to the opposing tooth, and the like.

A plurality of control points for adjusting the shape, size, etc. are set in the base model (see Cited Documents 2 and 3). The model creation unit 12 adjusts the control points of the base model to match the size and shape of the defective region (hereinafter referred to as primary adjustment). For example, control points for controlling the height and width of the base model are adjusted to match the height and width of the defective part. Note that since the method of automatically performing the primary adjustment is a known technique, detailed explanation will be omitted in this specification.

The model correction unit 13 includes a machine learning unit 100. The machine learning unit 100 uses three-dimensional data (hereinafter referred to as primary data) obtained by making primary adjustments to the base model and further fine-adjusted primary data (hereinafter referred to as secondary data) in order to match the needs of individual patients. This is an information processing device that uses machine learning to learn by itself the correlation that is the relationship with three-dimensional data (hereinafter referred to as secondary data) that has been subjected to (hereinafter referred to as secondary data).

Traditionally, secondary adjustments for generating secondary data from primary data have been performed manually by technicians based on their knowledge and experience. The machine learning unit 100 automates this process. First, in a learning mode, primary data, data indicating individual patient needs, and secondary data created by a technician are used as teacher data to learn the correlation between these data. Thereafter, in the estimation mode, the results of the learning are used to estimate secondary data corresponding to the given primary data and data indicating the needs of the individual patient.

The machine learning unit 100 includes a primary data input unit 110 that acquires primary data and data indicating the needs of individual patients, a secondary data input unit 120 that acquires secondary data, and a correlation between the primary data and secondary data. and a learning section 130 for learning.

For example, the following data is input to the primary data input section 110. These data may be input using an input device (such as a keyboard) not shown, and values stored in an internal or external storage device or values acquired from an external information processing device via a communication interface may be input. It's okay to be.
- Primary data Specifically, a set of coordinate values of a plurality of control points included in the primary data is input to the primary data input section 110.
・Wear condition It is desirable to make adjustments to the dental prosthesis according to the wear condition of the natural teeth. For example, if the natural teeth surrounding the affected area are worn down, the technician may adjust the height of the dental implant to be lower than the base model.
Preferably, the wear dimensions of the surrounding teeth are input into the primary data input section 110. For example, one or more sets of tooth numbers and wear dimensions (in millimeters) can be input. Alternatively, the degree of wear of the surrounding teeth can be classified into multiple levels, and a value indicating the level can be input into the primary data input section 110. Alternatively, since the degree of wear generally has a correlation with age and the strength of biting, a value indicating age and a value indicating the strength of biting (occlusal pressure, etc.) may be input into the primary data input section 110. .
・Root conditions It is desirable to make adjustments to the dental prosthesis according to the root conditions. The manner in which the gums change over time may differ depending on whether the removed tooth is a vital tooth (teeth with roots or nerves remaining) or nonvital teeth (teeth with no roots remaining). , the technician may make adjustments in anticipation of this.
For example, a value indicating whether the tooth is a vital tooth or a nonvital tooth is input into the primary data input section 110. Since the root status is generally described in the instructions, it can be obtained from an external system that holds the contents of the instructions, for example.
・Gingival condition It is desirable to make adjustments to the dental prosthesis according to the condition of the gums. For example, if the gums are receding, the technician may adjust the height of the dental implant to be higher than the base model.
Preferably, the receding length of the gums is input into the primary data input section 110. For example, one or more sets of tooth numbers and recession lengths (mm) can be input. Alternatively, the degree of gum recession can be classified into multiple levels, and values indicating the levels can be input into the primary data input section 110.
・Measurement values using an articulator An articulator is a device that can measure values that indicate various movements of the jaw. By inputting the measured values from the articulator into the primary data input section 110, information related to the complex movement of the jaw can be reflected in the secondary adjustment.
・Identifiers (names, etc.) of clinics, doctors, laboratories, and technicians
The know-how, habits, and preferences when performing secondary adjustments may differ between clinics, doctors, labs, and technicians. By inputting names, etc. for identifying clinics, doctors, technical laboratories, and technicians into the primary data input section 110, it is possible to obtain learning models having different estimation trends depending on know-how, habits, and preferences. .

The secondary data input unit 120 receives secondary data created by a technician by adjusting control points of the primary data based on knowledge and experience.

The learning unit 130 combines the primary data input into the primary data input unit 110 and the data indicating the patient's individual needs with the secondary data input into the secondary data input unit 120 according to any known machine learning algorithm. A learning mode in which correlations are learned, and an estimation mode in which secondary data that is highly correlated with the primary data input to the primary data input unit 110 and data indicating individual patient needs is output using the learning results in the learning mode. and has.

In the learning mode, the learning unit 130 repeatedly inputs various primary data and sets of data indicating the patient's individual needs and secondary data, and repeatedly executes the learning process. By repeating the learning process in this way, a learning model is constructed that shows the correlation between primary data, data showing individual patient needs, and secondary data. The correlations shown by the learning model gradually become more reliable as the learning process progresses. Once a learning model with a sufficiently reliable level is constructed, the learning model determines what kind of secondary data is most suitable for the primary data input into the primary data input section 110 and the data representing individual patient needs. This can be used to estimate whether the correlation is high.

FIG. 2 is a block diagram showing the configuration of a machine learning unit 100 including a learning unit 130 that executes supervised learning as a learning algorithm. Supervised learning involves inputting a large amount of data sets (hereinafter referred to as supervised data) consisting of inputs and corresponding outputs, and constructing a learning model by identifying the correlation between the inputs and outputs from the large amount of supervised data. This is a method that continues to develop. Supervised learning can be realized using, for example, a neural network, but since it is a known technique, a detailed explanation of its configuration will be omitted here.

The learning unit 130 calculates an error E between a correlation model M derived from primary data, data indicating individual patient needs, and secondary data, and correlation features identified from pre-prepared teacher data T. It includes a calculation unit 131 and a model update unit 132 that updates the correlation model M so as to reduce the error E. The learning unit 130 learns the correlation between the primary data, the data indicating the patient's individual needs, and the secondary data as the model updating unit 132 repeatedly updates the correlation model M.

The initial value of the correlation model M is, for example, a simplified representation (for example, by a linear function) of the correlation between primary data, data indicating individual patient needs, and secondary data, and is used to start supervised learning. The information is previously given to the learning unit 130. The teacher data T is, for example, a dataset of primary data acquired in the past, data indicating the needs of an individual patient, and secondary data created for that patient. The error calculation unit 131 identifies a correlation feature indicating a correlation between primary data, data indicating individual patient needs, and secondary data from a large amount of training data T given to the learning unit 130, and the correlation model M corresponding to the primary data in the current state, the data indicating the patient's individual needs, and the secondary data. The model updating unit 132 updates the correlation model M in a direction that reduces the error E according to a predetermined update rule. By repeating this process, the correlation model M is gradually adjusted so that it accurately represents the correlation between the primary data, the data representing the needs of the individual patient, and the secondary data.

In the estimation mode, the learning unit 130 can automatically and accurately obtain secondary data corresponding to the primary data and data indicating the patient's individual needs based on the learning model constructed in the learning mode. In other words, by providing primary data and data representing the patient's individual needs as input to a learning model, the learning model automatically and accurately generates the optimal secondary data for that patient, i.e., a set of secondary adjusted control points. Output.

The model output unit 14 outputs the secondary data output by the model correction unit 13. Alternatively, the model output unit 14 outputs a base model on which secondary data is reflected, that is, a three-dimensional model of the technique optimized for the affected area and patient. By outputting this three-dimensional model to, for example, a milling machine or a 3D printer, a technical object based on the three-dimensional model can be automatically created.

Various data input to the primary data input unit 110 can also be obtained from an instruction issuing system that issues and manages instructions. An example of the instruction issuance system is shown below. The configuration of the instruction sheet issuing system 200 according to the embodiment of the present invention will be described using the block diagram of FIG. 3.

The instruction book issuing system 200 includes a dental clinic interface section 210, an instruction book management section 220, and a dental laboratory interface section 230. The instruction issuance system 200 typically executes a program read from a storage device by a central processing unit (CPU) to update the dental clinic interface unit 210, instruction management unit 220, dental laboratory interface unit 230, etc. This is an information processing device that logically implements a processing section. Various hardware configurations can be considered to realize the instruction book issuing system 200. For example, all of these processing units are implemented on one or more servers, and the server includes the instruction management unit 220, and when accessed remotely from the terminal devices of the dental clinic and dental laboratory, the dental clinic interface 210 and the dental laboratory interface section 230. Alternatively, the functions of the dental clinic interface section 210 and the dental laboratory interface section 230 are implemented on the terminal devices of the dental clinic and the dental laboratory, respectively, and the server and these terminal devices are connected to each other so as to be able to communicate with each other. A book publishing system 200 may also be implemented.

The dental clinic interface section 210 has a function for inputting items to be written in the instruction sheet, a function for registering the instruction sheet data in the instruction sheet management section 220, a function for outputting the written instruction sheet, and a function for acquiring status information of the instruction sheet for the dental clinic. and provide change functions, etc.

The instruction sheet management section 220 stores the contents of the instruction sheet created by the dental clinic interface section 210. Further, the instruction sheet management section 220 holds status information of the instruction sheet, and changes the status information in response to a request from the dental clinic interface section 210 or the dental laboratory interface section 230.

The instruction management unit 220 issues a unique identifier (referred to as an instruction ID) to the instruction data created by the dental clinic interface unit 210, and can store the instruction ID and the instruction data in association with each other. preferable. More preferably, the instruction ID is associated with at least one of a receipt data identifier (referred to as a receipt ID), a patient data identifier (referred to as a patient ID), or a medical record data identifier (referred to as a medical record ID). It will be done. Receipt data is detailed medical fee data, typically created by a receipt computer, and stored in a predetermined storage area with a receipt ID attached thereto. By associating the instruction ID and the receipt ID, for example, using the receipt data as a starting point, you can search for instruction data related to the relevant receipt, or using the instruction data as a starting point, search for the receipt data related to the instruction document. It becomes possible to do. Similar effects can be obtained with respect to patient data and medical record data by associating the patient ID and medical record ID with the instruction ID, respectively. Various methods can be considered to perform the above-mentioned association. For example, when the dental clinic interface unit 210 creates instruction data, it may include a related receipt ID, patient ID, or medical record ID in the instruction data. Alternatively, the instruction management unit 220 may create a table or the like showing the correspondence between instruction IDs and associated receipt IDs, patient IDs, or medical record IDs. Alternatively, the table may be created by a receipt computer or the like.

The dental laboratory interface unit 230 provides a function for acquiring the contents of an instruction sheet, a function for acquiring and changing status information of the instruction sheet, etc. for the dental laboratory.

Next, an example of the operation of the instruction sheet issuing system 200 will be described using the flowchart of FIG. 4. Incidentally, steps S101 to S106 are mainly a processing flow on the dental clinic side by the dental clinic interface unit 210, and steps S107 to S109 are mainly a processing flow on the dental laboratory side by the dental laboratory interface unit 230.
<Dental clinic side processing flow>
S101: Patient designation The dental clinic interface unit 210 displays a patient designation screen on the terminal device of the dental clinic. FIG. 5 shows an example of a patient designation screen.

A patient list display section 2101 displays a list of patients that meet predetermined conditions. The dental clinic interface section 210 refers to a patient database managed by a receipt computer, an electronic medical record system, etc. (not shown), an instruction sheet management section 220, etc., extracts patients who meet predetermined conditions, and displays them in the patient list display section 2101. Display a list. The dental clinic interface unit 210 uses various information stored in the patient database, such as patient name, patient number, gender, age, date of birth, address, telephone number, past visit date and time, scheduled visit date and time, etc., as extraction conditions. It can be used as Further, the issue date of the instruction sheet stored in the instruction sheet management section 220, the scheduled delivery date of the technical material related to the instruction sheet, the delivery date, etc. may be used as extraction conditions.

Extraction conditions can be specified in various ways. For example, the patient list display section 2101 in FIG. 5 includes a plurality of tabs such as "Visiting" and "Issuing". When the "visit" tab is selected, the dental clinic interface unit 210 extracts patients who are scheduled to visit the clinic on that day. When the "Issuing" tab is selected, patients whose instructions have already been issued but whose delivery date has not yet been registered are extracted. Further, the dental clinic interface unit 210 may extract patients using any word or phrase input in the search box 2102 as a key. The dental clinic interface unit 210 can also use any other search interface to extract patients using any search conditions. The dental clinic interface unit 210 displays a list of the patients extracted in this way on the patient list display unit 2101.

The instruction list display section 2103 displays a list of instructions issued in the past for a specific patient. When the user selects one of the patients displayed on the patient list display section 2101, the dental clinic interface section 210 refers to the instruction sheet management section 220, extracts the past instruction sheet data of the selected patient, and Information that can identify the extracted instruction data, such as the date of issue, is displayed in a list on the instruction list display section 2103. The dental clinic interface unit 210 also displays an instruction interface for starting the creation of a new instruction sheet. In the example of FIG. 5, this corresponds to the "issue new instruction sheet" button.

S102: Patient specification If a past instruction is selected in the instruction list display section 2103, the process moves to step S104. On the other hand, if "issue new instruction" is selected, the process moves to step S103.

S103: Input of instructions The dental clinic interface unit 210 receives input of necessary information in order to create a new instruction for the patient specified in step S101. An example of an instruction input screen is shown in FIGS. 6A to 6C.

The technician type selection section 2104 is an interface for specifying a major classification of the technician object. In this example, buttons are arranged for selecting one from three types: "denture," "bridge," and "implant."

The insurance/self-blame selection section 2105 is an interface for specifying whether or not insurance is applicable. In this example, radio buttons are arranged for selecting one from "insurance" and "self-inflicted liability."

The technical item list display section 2106 is an interface for specifying subdivisions of technical items. The dental clinic interface section 210 displays a list of dental procedures that belong to the broad category selected in the procedure type selection section 2104 and that correspond to the insurance coverage selected in the insurance/self-insurance selection section 2105. A list is displayed on the display section 2106. For example, under the major category "construction", technical products such as "crown", "hard resin", "metal bond", "e.max", etc. belong as subcategories. Here, "crown" and "hard resin" can be covered by insurance, but "metal bond" and "e.max" are not covered by insurance. At this time, if "construction" is selected as the major category and "insurance" is selected as the distinction between insurance and liability, the dental clinic interface section 210 selects the subcategories "crown" and "hard resin" that meet all of these conditions. Only those items are extracted and displayed as a list on the technical object list display section 2106. In the example of FIG. 6A, buttons for selecting one from a plurality of subdivisions are arranged.

In addition, the dental clinic interface section 210 provides other arbitrary functions for selecting a dental technique, in addition to or in place of the above-mentioned technique type selection section 2104, insurance/self-insurance selection section 2105, and technique list display section 2106. It is also possible to provide means for For example, the dental clinic interface unit 210 may include means for searching for dental implants, means for selecting a desired dental implant from a list of frequently ordered dental implants, and the like. Alternatively, in addition to or in place of the technician type and insurance/self-responsibility classification, a means for narrowing down the search based on any other arbitrary conditions may be provided.

Incidentally, even for the same technical product, different names (alternative names) may be used depending on dental laboratories and dental clinics. For example, the standard technical product name "Crown" may be called "Cr" by laboratory A, and "FMC" by laboratory B. For this reason, dental clinics have conventionally used different names of technical products in instruction sheets depending on the customer. FIG. 11 shows an example of standard names and alternative names for technical materials.

In this embodiment, the dental clinic interface section 210 can previously hold a list of alternative names as shown in FIG. For example, "Cr" and "FMC" are maintained as a list of alternative names corresponding to the standard name "Crown." If the subsection "Crown" is selected, the dental clinic interface unit 210 can display a list of alternative names and allow the user to select one of the alternative names. Note that it is preferable to select the standard name based on the name of the technical product listed in the insurance point table published by the Ministry of Health, Labor and Welfare. Further, the dental clinic interface section 210 or the dental laboratory interface section 230 may include an interface for arbitrarily registering another name corresponding to the standard name.

That is, the dental clinic interface unit 210 needs to previously store, in association with each sub-section of the technical object, the major section to which the technical object belongs, whether or not it is covered by insurance, and preferably a list of aliases. In this embodiment, it is assumed that the dental clinic interface unit 210 stores this information in advance in a storage area (not shown).

The instruction format display section 2107 displays the expected content of the instruction based on the information input up to the present time. The dental clinic interface unit 210 acquires the patient's name, age, gender, etc. from a patient database, etc., and displays them at a predetermined position in the instruction format display unit 2107. The dental clinic interface section 210 further displays the insurance/self-at-fault category selected in the insurance/self-at-fault selection section 2105 and the name of the surgical procedure selected in the technical-procedure list display section 2106 in a predetermined field in the instruction format display section 2107. Display in position.

Here, the instruction book issuing system 200 may store dental clinic information in advance in a storage area (not shown). In this case, the dental clinic interface section 210 may acquire any information included in this dental clinic information and display it at a predetermined position within the instruction format display section 2107. The dental clinic information may include, for example, a clinic name, address, telephone number, and the like. Note that the dental clinic interface unit 210 may include a separate interface for registering dental clinic information.

The design information input unit 2108 is an interface for inputting design information of a technical object. For example, the dental clinic interface unit 210 reflects the number selected by the user in the dental formula input field on the instruction format display unit 2107. Also, the number of selected pieces is counted and reflected in the number column.

Further, the dental clinic interface unit 210 may receive input of an oral cavity photograph. For example, when the user selects the oral cavity photo field, the dental clinic interface unit 210 activates the camera function of the dental clinic terminal. The dental clinic interface unit 210 acquires and stores photographs taken with a camera, and displays thumbnails thereof in the oral cavity photograph field. Alternatively, the dental clinic interface section 210 provides an interface for selecting an image previously stored in the dental clinic terminal or other storage area, obtains and stores the selected image, and displays its thumbnail in the oral cavity. It may be displayed in the photo column.

Further, the dental clinic interface unit 210 may receive input of three-dimensional data of the affected area. For example, the dental clinic interface unit 210 obtains three-dimensional data (typically stored in a predetermined file format) of the affected area obtained using an intraoral scanner.

Furthermore, the dental clinic interface unit 210 may include a notes column for inputting detailed instructions. For example, if the dental clinic wishes to specify the material of the dental prosthesis, the specification can be written in this remarks column.

The supplier selection unit 2109 is an interface for selecting a supplier while comparing prices, delivery dates, and the like. In the example of FIG. 6C, the supplier selection unit 2109 displays a plurality of dental laboratories that are candidates for the supplier. It also has a price display column and a delivery date calendar. Also,
The supplier selection unit 2109 stores the technician fee for each dental laboratory and the shortest delivery date for each dental laboratory in a storage area (not shown). When one of the dental laboratories is selected by the user, the supplier selection section 2109 selects the selected dental laboratory that corresponds to the dental laboratory selected in the dental laboratory list display section 2106 and the design information input to the design information input section 2108. The technician fee and delivery date of the selected laboratory are obtained from the storage area and displayed in the fee display column and delivery date calendar. For example, when ordering two dental implants, ``crowns'', the supplier selection unit 2109 can calculate the price for the two pieces based on the pre-stored unit price of the ``crowns'' and display it in the price display column. Further, the delivery date displayed on the delivery date calendar may be configured to be changeable as appropriate on the clinic side.

S104: Editing Instructions When a past instruction is selected in the instruction list display section 2103, the dental clinic interface section 210 refers to the instruction management section 220 and reads out the selected instruction data. Then, a screen similar to that shown in FIGS. 6A to 6C is displayed with the contents of the selected instruction sheet written thereon. The dental clinic interface section 210 accepts changes to the contents of the instruction sheet by the user.

S105: Issue instructions The ordering unit 2110 has an order button and an instruction print button. These two buttons may be integrated into one. When the ordering button is pressed, the ordering unit 2110 issues an instruction sheet by storing the information input through the series of processes described above in a predetermined storage area of the instruction sheet management section 220. The information managed by the instruction sheet management unit 220 includes information that identifies the technical product and its specifications, as well as the date of issue, scheduled delivery date, insurance/self-responsibility status, patient information, dental clinic information from which the order was placed, and information about the order place. May include dental laboratory information, etc.

Here, the instruction book issuing system 200 may store dental laboratory information in advance in a storage area (not shown). The dental laboratory information may include, for example, the laboratory name, address, telephone number, and the like. In this case, the dental clinic interface section 210 may acquire any information included in this dental laboratory information and store it in the instruction sheet management section 220 as part of the information constituting the instruction sheet. Note that the dental laboratory interface section 230 may include an interface for registering dental laboratory information.

When an instruction sheet is issued by the dental clinic interface section 210, the instruction sheet management section 220 generates an identifier for uniquely identifying the instruction sheet, that is, an instruction sheet ID, and associates the instruction sheet with the instruction sheet ID. memorize it. Further, the instruction sheet management unit 220 stores status information in association with each instruction sheet. FIG. 10 shows an example of status information. According to this example, the status of the instruction sheet issued by the dental clinic interface section 210 is "not yet started."

S106: Print instructions When the print instructions button is pressed, the ordering unit 2110 prints the instructions. Preferably, the ordering section 2110 prints in the same format as the instruction format display section 2107. The information printed on the instructions should be based on the same information stored in the instructions manager 220. Further, the ordering unit 2110 preferably prints the instruction ID, another identifier corresponding to the instruction ID, or a barcode encoded with the instruction ID or the above-mentioned identifier on the instruction sheet. Printed instructions are usually sent to the dental laboratory along with the model. Further, the ordering unit 2110 may notify the dental laboratory of the instruction ID and the identifier by any other means.

Note that the ordering section 2110 may have a cancel button. When the cancel button is pressed, the dental clinic interface unit 210 discards the information input so far and moves to step S101.

<Dental laboratory side processing flow>
S107: Refer to instruction sheet The dental laboratory interface unit 230 receives selection of instruction sheet data at the terminal device of the dental laboratory. The instruction display screen shown in FIG. 7 includes an input box 2301 for inputting an instruction ID and an identifier corresponding to the instruction ID. The dental laboratory interface unit 230 extracts the corresponding instruction data from the instruction management unit 220 using the instruction ID and the identifier input in the input box 2301 as keys, and displays the contents in the instruction display field 2302. indicate. Note that the selection of the instruction sheet data is performed by, for example, a barcode scanner (not shown) reading the barcode written on the printed instruction sheet and outputting the instruction ID or the identifier, and the dental laboratory interface unit 230 reads the bar code written on the printed instruction sheet and outputs the instruction sheet ID or the above identifier. The instruction sheet may be extracted from the instruction sheet management section 220 based on the instruction sheet ID or identifier. Alternatively, it may be configured to display a list of instructions extracted from the instruction sheet management section 220 based on predetermined conditions and allow the user to select a desired instruction sheet.

The dental laboratory interface section 230 receives changes to the status information of the instruction sheet through the instruction sheet status change section 2303. In this embodiment, the instruction sheet status change unit 2303 has two buttons: "Creating" and "Delivery possible." For example, a user at a dental laboratory presses a "Creating" button when starting to create a dental technology based on instructions. Then, the dental laboratory interface section 230 rewrites the status information of this instruction sheet stored in the instruction sheet management section 220 to "under creation." Furthermore, when the user completes the dental workpiece and presses the "Delivery available" button, the dental laboratory interface section 230 rewrites the status information of this instruction sheet stored in the instruction sheet management section 220 to "Delivery possible". .

The instruction sheet display screen may include a material usage entry section 2304. The material used entry section 2304 accepts input of information such as the name of the material used and the amount used. The dental laboratory interface section 230 stores the information input here in the instruction sheet management section 220 in association with the instruction sheet. Preferably, the status information and the information regarding the materials used are saved in the instruction book management unit 220 upon pressing of the "Save" button.

S108: Issuance of delivery note FIG. 8 is an example of a delivery screen provided by the dental laboratory interface section 230. The dental laboratory interface unit 230 reads instruction data whose status information is “deliverable” and which is specified by the user, from among the instruction data stored in the instruction management unit 220, and displays the instruction data in the delivery note 2305. Create. For example, the dental laboratory interface unit 230 may receive an instruction whose status information is "deliverable" and which has an instruction ID entered in an input box or another identifier corresponding to the instruction ID, or a bar (not shown). The instruction document ID outputted by the code scanner or the instruction document having the above identifier may be extracted. Alternatively, the dental laboratory interface unit 230 may be configured to display a list of instructions whose status information is "deliverable" on the delivery screen and allow the user to select a desired instruction. The items written on the delivery note are typically the same as those written on the instructions. In addition, information related to the delivery date and the materials to be used inputted in the materials to be used entry section 2304 may be entered.

The dental laboratory interface section 230 stores delivery note data in the instruction sheet management section 220, for example, when the "issue" button is pressed. At this time, the dental laboratory interface unit 230 issues a delivery note by storing the above-mentioned instruction data designated by the user in association with this delivery note data. When a delivery note is issued by the dental laboratory interface unit 230, the instruction management unit 220 generates an identifier (delivery note ID) for uniquely identifying the delivery note, and associates the delivery note with the identifier. Remember.

S109: Printing the delivery note At this time, it is preferable that the dental laboratory interface unit 230 prints the delivery note. The information printed on the delivery note should be based on the same information as the delivery note stored in the instruction book management unit 220. Further, the dental laboratory interface unit 230 preferably prints the delivery note ID, another identifier corresponding to the delivery note ID, or a barcode encoded with the delivery note ID or the above identifier on the delivery note. The printed delivery note is usually sent to the dental clinic along with the technical materials. Further, the dental laboratory interface section 230 may notify the dental clinic of the above identifier by any other arbitrary means. At this time, the dental laboratory interface unit 230 changes the status information of the instruction sheet associated with the delivery note to, for example, "shipped."

FIG. 9 is an example of a delivery check screen used by the dental clinic that received the technical product. The dental clinic interface unit 210 provides a delivery check screen. The dental clinic interface unit 210 reads out a delivery note that is associated with an instruction whose status information is “shipped” and specified by the user from among the instructions stored in the instruction management unit 220, and performs the delivery. It is displayed on the document display section 2111. For example, the dental laboratory interface unit 230 may receive a delivery note that is associated with an instruction sheet whose status information is "shipped" and has the above-mentioned delivery note ID or the above-mentioned identifier entered in the input box, or a The delivery note ID output by the code scanner or the delivery note having the above identifier may be extracted. Alternatively, the dental clinic interface unit 210 is configured to display a list of delivery notes associated with instructions whose status information is "deliverable" on the delivery check screen, and allow the user to select a desired delivery note. Also good.

Then, for example, when the user presses the "receive" button, the dental clinic interface unit 210 changes the status of the instruction sheet associated with the selected delivery note to "delivered."

According to the present embodiment, the instruction book issuing system 200 knows in advance the alternative names of the dental techniques, which may differ depending on the dental laboratory, and maintains the correspondence with the standard names of the dental techniques. There is. Therefore, there is no need to create instructions using different names for each dental laboratory to which the order is placed, and the instructions can be created accurately, simply, and efficiently.

In addition, since the production costs and delivery dates for dental technicians vary depending on the dental laboratory, the instruction book issuing system 200 maintains the fees and delivery dates for each dental laboratory, and the instruction booklet issuing system 200 stores the fees and delivery dates for each dental laboratory, and allows the technicians to produce the dental work items described in the input instructions. You can easily compare the cost and delivery time for creation. This makes it possible for dental clinics to order technical materials easily and at low cost.

Furthermore, in this embodiment, the instructions entered into the instruction issuing system 200 can be output as paper documents, so there is no need to create instructions by hand as in the past, which saves a lot of time and effort. This makes it possible to reduce time.

Note that in the above-described embodiment, an identifier is also issued to the delivery note, but the present invention is not limited to this, and the delivery note may be configured to be identified by the identifier of the instruction sheet linked to the delivery note. No problem.

<Example 1>
As a first embodiment, the operation of the automatic dental implant design system 1 in a case where a dentist orders a dental implant from a laboratory using the instruction issuing system 200 after scanning an affected area using an intraoral scanner is shown in FIG. This will be explained using the flowchart No. 13.
S201: A dentist scans the inside of a patient's oral cavity with an intraoral scanner at a dental clinic, and obtains three-dimensional data of the affected area. The three-dimensional data is temporarily saved as a file.
S202: The dentist creates an instruction using the dental clinic interface section 210 of the instruction issuing system 200. At this time, the three-dimensional data of the affected area acquired in S201 is registered. Further, the dental laboratory to which the order will be placed is selected using the supplier selection unit 2109, taking into consideration the fee and delivery date, and the ordering unit 2110 issues an instruction sheet.
S203: The automatic dental laboratory design system 1 refers to the instruction management unit 220 of the instruction issuing system 200 and acquires the instruction issued in S202. At this time, three-dimensional data of the affected area is also acquired.
S204: In the automatic dental laboratory design system 1, the primary data input unit 110 inputs the three-dimensional data (including shape information and preferably color information) of the affected area acquired in S203 and the instruction sheet. Obtain data indicating the needs of the individual patient (for example, age, occlusal pressure, root condition, information indicating the dental clinic and dentist, etc.). The dental technician may auxiliary input data indicating the patient's individual needs (the condition of the gums observed from three-dimensional data, information indicating the dental laboratory and dental technician, etc.) into the primary data input unit 110. good.
S205: In the automatic dental laboratory design system 1, the model output unit 14 outputs the three-dimensional data of the affected area input in S204 and the data indicating the patient's individual needs to a learning unit 130 operating in an estimation mode. and obtain the corresponding secondary data.
S206: The model output unit 14 executes processing of the technical object by outputting the secondary data to a milling machine, 3D printer, etc.
According to the first embodiment, since the three-dimensional data of the affected area can be transferred via the instruction issuance system 200, a certain level of quality can be guaranteed if the laboratory has already introduced the automatic technical product design system 1. Techniques can be completed in a short time. Since various information (color information, etc.) that can be acquired by an intraoral scanner can be input into the automatic technical object design system 1, higher quality dental objects can be created.

<Example 2>
As a second embodiment, the flowchart in FIG. 14 describes the operation of the automatic dental implant design system 1 in a case where a dentist creates a plaster model of the affected area and then uses the instruction issuing system 200 to order a dental implant from a laboratory. Explain using.
S301: The dentist creates a plaster model of the patient's affected area at the dental clinic. The completed plaster model is shipped to a dental laboratory.
S302: The dentist creates an instruction using the dental clinic interface section 210 of the instruction issuing system 200. Using the supplier selection unit 2109, the dental laboratory to which the order will be placed is selected, taking into account fees and delivery dates, and an ordering unit 2110 issues an instruction sheet.
S303: The automatic dental laboratory design system 1 refers to the instruction management unit 220 of the instruction issuing system 200 and acquires the instruction issued in S302.
S304: In the automatic dental laboratory design system 1, the scanning unit 11 scans the plaster model of the affected area created in S301 using a stationary three-dimensional scanner to obtain a three-dimensional model.
S305: In the automatic dental laboratory design system 1, the primary data input unit 110 uses the three-dimensional data (including shape information and preferably color information) of the affected area acquired in S304 and the three-dimensional data acquired in S303. Data indicating the patient's individual needs (for example, age, occlusal pressure, root condition, information indicating the dental clinic and dentist, etc.) included in the written instructions is acquired. The dental technician may auxiliary input data indicating the patient's individual needs (the condition of the gums observed from three-dimensional data, information indicating the dental laboratory and dental technician, etc.) into the primary data input unit 110. good.
S306: In the automatic dental laboratory design system 1, the model output unit 14 outputs the three-dimensional data of the affected area input in S305 and the data indicating the patient's individual needs to the learning unit 130 operating in estimation mode. and obtain the corresponding secondary data.
S307: The model output unit 14 executes processing of the technical object by outputting the secondary data to a milling machine, 3D printer, etc.
According to the second embodiment, even when instructions are given via a plaster model as in the conventional case, the technical object can be finished in a short time.

Note that the present invention is not limited to the above embodiments, and can be modified as appropriate without departing from the spirit. For example, the information input to the primary data input section 110 and the secondary data input section 120 in the above-described embodiment is merely an example, and it is also possible to input various information not illustrated. For example, a value indicating the material of the technical object can be input into the secondary data input section 120 together with the secondary data. For example, patients may have a preference for prosthetics made of different materials depending on their age. Specifically, older people may prefer soft materials (such as 24-karat gold) that are comfortable to chew. Therefore, if learning is performed by inputting values indicating materials to the secondary data input section 120 in the learning mode, the learning section 130 can calculate the correlation between the primary data and data indicating the patient's individual needs, and the secondary data and materials. Therefore, the automatic technical product design system 1 can output a set of secondary data and materials suitable for the patient's attributes.

Furthermore, in the above-described embodiment, the learning unit 130 learns the correlation between the primary data and the data indicating the patient's individual needs, and the secondary data through supervised learning, but the learning may be performed using other machine learning techniques, such as This may be done by unsupervised learning, reinforcement learning, deep learning, etc.

Further, each processing means constituting the present invention may be configured by hardware, and any processing can be logically realized by having a CPU (Central Processing Unit) execute a computer program. It may be. In this case, the computer program can be stored and delivered to the computer using various types of non-transitory computer readable media. The program may also be provided to the computer on various types of transitory computer readable media. Transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can provide the program to the computer via wired communication channels, such as electrical wires and fiber optics, or wireless communication channels.

1 Automatic technical product design system 11 Scanning unit 12 Model creation unit 13 Model correction unit 14 Model output unit 100 Machine learning unit 110 Primary data input unit 120 Secondary data input unit 130 Learning unit 200 Instruction issuance system 210 Dental clinic interface unit 2101 Patient list display section 2102 Search box 2103 Instruction list display section 2104 Technician type selection section 2105 Insurance/self-responsibility selection section 2106 Technique list display section 2107 Instruction format display section 2108 Design information input section 2109 Supplier selection section 2110 Order section 2111 Delivery note display section 220 Instruction sheet management section 230 Dental laboratory interface section 2301 Input box 2302 Instruction sheet display field 2303 Instruction sheet status change section 2304 Materials used entry section 2305 Delivery note

Claims (6)

An automatic technology design system that designs a dental technology that is optimized for a patient,
a scanning unit that acquires three-dimensional data of the affected area;
a model creation unit that adjusts a tooth mold base model based on the three-dimensional data of the affected area and outputs primary data whose size or shape is adapted to the defective part in the affected area ;
a model correction unit that outputs secondary data obtained by adjusting the primary data based on data indicating the patient's needs;
a model output unit that outputs three-dimensional data of the technical object based on the secondary data,
The model correction unit includes a machine learning unit,
The machine learning department is
a primary data input section for inputting the primary data and data indicating the patient's needs; a secondary data input section for inputting the secondary data;
An automatic technical object design system, comprising: a learning unit that learns the relationship between the primary data, the data indicating the patient's needs, and the secondary data. The automatic dental prosthesis according to claim 1, wherein the model correction unit outputs the secondary data corresponding to the primary data and data indicating the patient's needs based on the learning result by the learning unit. design system. The automatic dental prosthesis according to claim 1, wherein the data indicating the needs of the patient includes at least one of the wear condition of the patient's teeth, the condition of roots, the condition of gums, and a measurement value with an articulator. design system. The dental prosthesis according to claim 1, wherein the model modification unit outputs secondary data obtained by adjusting the primary data and data indicating the material of the dental prosthesis, based on data indicating the needs of the patient. Automatic design system. The secondary data input unit further inputs data indicating the material of the technical material,
The learning unit is configured to learn a relationship between the primary data and data indicating the needs of the patient, and the secondary data and data indicating the material of the technical material. Automatic technical product design system. An automatic technology design system that designs a dental technology that is optimized for a patient,
a scanning unit that acquires three-dimensional data of the affected area;
a model creation unit that adjusts a tooth mold base model based on the three-dimensional data of the affected area and outputs primary data whose size or shape is adapted to the defective part in the affected area;
a model correction unit that outputs secondary data obtained by adjusting the primary data based on data indicating the patient's needs;
a model output unit that outputs three-dimensional data of the technical object based on the secondary data,
The model correction unit includes a trained model,
The trained model is
The relationship between the primary data, the data indicating the patient's needs, and the secondary data is learned.
Automatic technical product design system.

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