WO2023058157A1 - 治療支援装置、システム、及び方法 - Google Patents

治療支援装置、システム、及び方法 Download PDF

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Publication number
WO2023058157A1
WO2023058157A1 PCT/JP2021/036999 JP2021036999W WO2023058157A1 WO 2023058157 A1 WO2023058157 A1 WO 2023058157A1 JP 2021036999 W JP2021036999 W JP 2021036999W WO 2023058157 A1 WO2023058157 A1 WO 2023058157A1
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information
store
disease
product
user
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PCT/JP2021/036999
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English (en)
French (fr)
Japanese (ja)
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和寛 檜山
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メディテック株式会社
ケイ－トムト コー リミテッド
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Priority to JP2023552480A priority Critical patent/JPWO2023058157A1/ja
Priority to PCT/JP2021/036999 priority patent/WO2023058157A1/ja
Publication of WO2023058157A1 publication Critical patent/WO2023058157A1/ja

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Definitions

  • the present invention relates to a treatment support device, system, and method for skin diseases, and more particularly to a treatment support device, method, and system using AI image diagnosis that contributes to self-medication.
  • Diagnosis of skin diseases has aspects of image analysis. Inventions using artificial intelligence as systems for analyzing medical images are known, but they are not inventions intended for diagnosing skin diseases (see Patent Document 1).
  • an object of the present invention is to provide a treatment support device, system, and method using AI image diagnosis that contributes to self-medication.
  • a skin disease treatment support device connected to a user terminal via a network, wherein the treatment support device User information including disease images and location information is received from the user terminal, and diagnostic information including a disease name, product information including a product name responding to the diagnostic information, and the product are transmitted to the user terminal.
  • a device comprising [2]
  • the treatment support device is further connected to a store management device via a network, the transmitting/receiving means further transmits store information including inventory information, and the control means further controls the inventory of the product from the store.
  • [4] The device according to any one of [1] to [3], wherein the user terminal is one selected from the group consisting of a smartphone, a tablet terminal, and a personal computer.
  • the user terminal is one selected from the group consisting of a smartphone, a tablet terminal, and a personal computer.
  • the disease image is an image taken with a smartphone camera or an image from an image library, focusing on the affected area.
  • the position of the position information is the user's current position or the user's specified position.
  • the disease name is provided as one or more disease candidate names.
  • the store is a pharmacy or drug store.
  • the product DB is a DB containing at least one selected from the group consisting of commercially available or homemade medical drugs, over-the-counter drugs, and functional foods including FOSHU and functional foods, [1]- The device according to any one of [9].
  • the disease diagnosis means is a device connected to the treatment diagnosis device via a network.
  • the device according to any one of [2] to [11], wherein the inventory management device is part of the treatment support device.
  • the inventory control device is an inventory control device for one store or an inventory control device for a plurality of stores.
  • the control means further comprises a user DB, The control means receives user registration from the user terminal through the transmission/reception means, records user registration information in a user DB of the control means, and returns a user ID and password to the user terminal. , [1] to [13].
  • control means receives a request for product ordering and/or shipping from the user terminal through the transmitting/receiving means, and transmits request information for product ordering and/or shipping to the store management device; ].
  • the control means further comprises a medical institution DB and is connected to a medical appointment device of the medical institution via a network;
  • a medical institution DB is inquired about a medical institution where a skin disease specialist treats based on the user information, and the medical institution information is acquired, and the user terminal
  • the device according to any one of [1] to [15], which transmits to [17]
  • the control means further acquires medical appointment information from the medical appointment device and transmits it to the user terminal,
  • the apparatus according to [16] which transmits medical treatment request information transmitted from the user terminal to the medical treatment reservation device, and transmits reception information transmitted from the medical treatment reservation device to the user terminal.
  • the disease diagnosis means comprises a data group of disease images labeled with disease names, a conversion unit that converts each disease image into feature amount data, and a neural network model subjected to machine learning processing on the data group,
  • the disease image to be diagnosed transmitted from the control means is converted into feature amount data by the conversion unit, calculated by the neural network model, converted into feature amount data, and the signs are identified to make a diagnosis including the name of the disease. obtaining information and sending it to the control means;
  • the device according to any one of [1] to [17].
  • the apparatus of [18] wherein the neural network model is a deep convolutional neural network model.
  • the data set comprises 50,000 to 400,000 disease images.
  • a treatment support system comprising a skin disease treatment support device and a user terminal connected via a network,
  • the treatment support device is User information including disease images and location information is received from the user terminal, and diagnostic information including a disease name, product information including a product name responding to the diagnostic information, and the product are transmitted to the user terminal.
  • a system comprising: [27]
  • the treatment support device is further connected to a store management device via a network, the transmission means further transmits store information including inventory information, and the control means further controls the inventory of the product from the store.
  • a treatment support method using a system comprising a skin disease treatment support device and a user terminal connected via a network, a step of receiving user information including a disease image and location information from the user terminal by means of transmission/reception means in the treatment support apparatus; a step of acquiring diagnostic information from a disease diagnosis means based on the disease image transmitted from the transmission/reception means by the control means in the treatment support apparatus; obtaining a product name corresponding to the disease name in the diagnostic information from the product DB by means of control means in the treatment support device; Based on the location information of the user information, store information including the name and location of the store near the location and the store from the online store is acquired from the store DB by the control means of the treatment support device.
  • Diagnostic information including a disease name, product information including a product name responding to the diagnostic information, and a store including a store name and a store location where the product can be obtained are sent to the user terminal by the transmitting/receiving means of the treatment support device. transmitting the information;
  • a method, including [29] The treatment support device is further connected to a store management device via a network, a step of acquiring inventory information including a store having inventory of the product and an inventory amount from the store management device by the control means of the treatment support device; a step of further transmitting store information including the stock information to the user terminal;
  • the method of [28] comprising
  • the patient himself/herself makes an auxiliary diagnosis of the skin disease, acquires product information such as pharmaceuticals or functional foods based on the diagnosis, and obtains the product information. Since it is possible to obtain information on stores that have stocks of these products and treat them themselves, it is possible to improve the convenience of self-treatment for users and contribute to the development of self-medication.
  • FIG. 4 is a diagram showing an outline of one form of an interface screen of the user terminal (200) according to the embodiment of the present invention
  • FIG. 4 is a diagram showing an outline of one form of an interface screen of the user terminal (200) according to the embodiment of the present invention.
  • BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the outline
  • BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the outline
  • 1 is a diagram showing an outline of one form of disease diagnosis means (130) in a treatment support device (100) according to an embodiment of the present invention;
  • FIG. It is a figure which shows the flow of the treatment assistance method which concerns on embodiment of this invention.
  • the treatment support device according to the present invention is the device (100) shown in FIG. is a treatment support device.
  • the treatment support apparatus (100) receives user information including a disease image and position information from the user terminal (200), and transmits diagnostic information including a disease name and the diagnosis to the user terminal (200).
  • the apparatus is characterized by comprising control means (120) for processing diagnostic information, the product information, and the store information according to the user information and transmitting the processed information to the transmitting/receiving means.
  • the medical treatment support device (100) further comprises a store management device (300) to which the medical care support device (100) is connected via a network (900).
  • the transmitting/receiving means (110) further transmits store information including inventory information
  • the control means (120) further manages the store having inventory of the product and the inventory information including the inventory amount from the store. It is characterized by being a device that acquires from a device (300).
  • a treatment support device (100) according to the present invention is connected to a user terminal (200) and a store management device (300) via a network (900) as shown in FIG.
  • the network (900) various networks can be cited as long as they are computer networks. Preferably, it is the Internet.
  • the treatment support device (100) can include a server inside it, and can also be connected to a server installed separately outside it. Also, the treatment support device (100) is preferably a so-called cloud computer.
  • the cloud computer allows the user using the user terminal (200) to use computer processing via the network (900).
  • the treatment support apparatus (100) acquires diagnostic information including a disease name, product information responding to the diagnostic information, and the product based on a disease image or the like transmitted by a user. It is possible to quickly provide users with store information for Users can easily obtain diagnostic information for their own skin diseases, product information for treatment assistance, and store information for product acquisition. As a result, it is possible for the user to perform supplementary treatment for skin diseases by himself/herself, contributing to self-medication.
  • the users of the user terminal (200) in the treatment support device (100) include patients, general consumers, and medical personnel.
  • patients use the treatment support apparatus (100) to assist treatment of their own skin diseases, general consumers to assist treatment of relatives and acquaintances, and medical personnel to assist treatment of patients. can be used.
  • a smart phone As the user terminal (200) in the treatment support device (100), a smart phone, a tablet PC, a personal computer, etc. can be mentioned. Among them, mobile terminals such as smart phones and tablet PCs are preferable from the viewpoint of convenience that they can be used anywhere.
  • the disease image transmitted from the user terminal (200) is preferably an image focused on the affected area.
  • Examples of the disease image include an image captured by a smartphone camera and an image from an image library.
  • the disease image can be uploaded to the treatment support device from the interface screen provided on the user terminal, for example, as shown in FIGS.
  • the number of disease images is preferably one or two.
  • One image is preferable from the point of convenience for the user, and two images are preferable from the point of sensitivity and specificity of diagnostic results.
  • When uploading two disease images it is preferable that one image is a close-up image of the affected area and the other image is an image of the entire disease.
  • the location information transmitted from the user terminal (200) is generally the user's current location or the user's specified location.
  • the designated position can be determined by inputting or selecting an address on the interface screen, such as the user's home or workplace, or by mapping it on a map.
  • the user information other than the location information of the user includes a user ID, a user password, selection information about the diagnostic information returned from the treatment support device (100) to the user terminal (200), and the like. can be mentioned.
  • the selection information includes the number of candidate disease names to be returned (e.g., 1 disease, 3 diseases, 5 diseases, etc.), the f-1 score of the diagnosis result, the presence or absence of display of sensitivity and specificity, Examples include the presence or absence of an ICD (International Classification of Diseases) code for a disease. You can also ask for comments from a dermatologist.
  • ICD International Classification of Diseases
  • FIG. 4 shows an example of the interface screen on which the user inputs the user information on the user terminal (200).
  • the user can upload two disease images.
  • the user's comments can also be entered if the user solicits the specialist's comments.
  • the user can also enter location information, either the current location or a specified location for product acquisition based on diagnostic results.
  • diagnostic information including a disease name and product information including a product name responding to the diagnostic information
  • store information including store name, store location and inventory information where the product can be obtained.
  • the product in the product information returned from the treatment support device (100) to the user terminal (200) is not particularly limited as long as it can be used as a treatment or treatment aid for skin diseases, and various products.
  • can give Among these, ethical drugs (hereinafter also referred to as "prescription drugs”), over-the-counter drugs (hereinafter also referred to as "OTC drugs”), functional foods such as FOSHU and functionally labeled foods are preferred.
  • Examples of the product information other than the product name include indications, efficacy/effects, health promoting action, functionality, and side effects of the product.
  • a pharmacy, a drug store, etc. can be mentioned as the store in the store information returned from the treatment support device (100) to the user terminal (200).
  • the store information returned from the treatment support device (100) to the user terminal (200) can be mentioned.
  • the store location in the store information can be displayed by entering an address or specifying a location on a map on the interface screen provided on the user terminal (200).
  • the inventory information in the store information is displayed on the interface screen provided to the user terminal (200) as the presence or absence of inventory, the inventory quantity, etc. together with the store information of the store that has the inventory of the product. can be done.
  • the information transmitted from the user terminal (200) to the transmitting/receiving means (110) in the treatment support device (100) is further transmitted to the control means (120).
  • the control means (120) can transmit the user information including the disease image to the disease diagnosis means (130) and acquire the diagnosis information including the disease name returned from the disease diagnosis means (130). can.
  • the control means (120) inquires the product DB (121) for product information corresponding to the disease name based on the diagnostic information, and stores the store DB (121) based on the product information and the location information of the user. 122) for store information including the store name to acquire the product information and the store information.
  • the control means (120) can further transmit the store information to the store management device (300) and receive a reply about the name of the store that has the product in stock and the stock amount.
  • the control means (120) processes the diagnostic information, the product information, and the store information based on the user information, and can reply to the user terminal (200) through the transmitting/receiving means (110). can.
  • FIG. 5 shows an example of the interface screen on which the user displays information transmitted from the treatment support device (100) on the user terminal (200).
  • the ICD codes of two candidate diseases, disease names, and specialist comments are displayed on the interface screen as the diagnosis information.
  • the product information the product classification, product name, and product number of two products for the disease 1 are displayed.
  • the store name, address, telephone number, and map display button are displayed as store information.
  • the disease diagnosis means (130) AI-processes the disease image transmitted from the control means (120) and returns diagnostic information including the disease name to the control means (120).
  • the disease diagnosis means (130) may be a part of the treatment support device (100), or may be a device connected to the treatment diagnosis device (100) via a network (900). In this case, the disease diagnosis means (130) may be a disease diagnosis device of an external organization.
  • a commercially available or homemade database can be used as the product DB (121).
  • the product DB (121) may be a database of ethical drugs, over-the-counter drugs, or functional foods including FOSHU and functionally labeled foods.
  • a commercially available database, a database provided by a pharmacy chain, or a homemade database can be used as the store DB (122). Further, the store DB can include the net store.
  • the inventory management device (300) is connected to the treatment diagnosis device (100) via a network, even if it is an inventory DB (not shown) which is a part of the treatment support device (100). It may be a device with
  • the inventory management device (300) may be an inventory management device for one store or, for example, an inventory management device that controls a plurality of stores under a chain.
  • a user who uses the user terminal (200) can perform user registration of the treatment support device (100) from the user terminal (200).
  • the control means (120) further comprises a user DB (123) as shown in FIG.
  • User registration is accepted, user registration information is recorded in the user DB of the control means (120), and the user ID and password are returned to the user terminal.
  • various methods such as one-time password, bar code, QR code, and biometric authentication can be used in addition to general ID and password.
  • the treatment support device (100) can assist in arranging the product for the user.
  • the treatment support device (100) receives the order reservation for the product and the delivery request for the product from the user terminal (200) through the transmitting/receiving means (110), and through the control means (120), the store management.
  • An order reservation for the product and a delivery request for the product can be sent to the device (300). Users can easily obtain products such as OTC medications for therapeutic assistance.
  • the store management device (300) is a device that manages inventory management of the store, order reservations for the products, and delivery requests for the products.
  • the device may be one device that performs each of the above functions, or may be a plurality of devices.
  • the treatment support device (100) can support the user's medical care at a medical institution and, in turn, support the acquisition of prescription drugs.
  • the treatment support device (100) further comprises a medical institution DB (124) and is connected to the medical institution's medical appointment device (400) via a network (900).
  • the treatment support device (100) inquires of a medical institution DB (124) about a medical institution where a dermatology specialist treats. , medical institution information can be acquired and transmitted to the user terminal (200).
  • the disease diagnosis means (130) in the treatment support device (100) includes a data group (131) of disease images labeled with disease names. , a conversion unit (132) for converting each disease image into feature amount data, and a neural network model (133) subjected to machine learning processing with the data group,
  • the disease image to be diagnosed transmitted from the control means (120) is converted into feature amount data by the conversion unit (132), calculated by the neural network model (133), converted into feature amount data, and classified. is identified, diagnostic information including the disease name is acquired, and the diagnostic information including the disease name is transmitted to the control means (120).
  • the neural network model subjected to machine learning processing on the data group in order to detect the feature amount is a deep convolutional neural network model suitable for image analysis.
  • the disease name can have tens to more than 100 classifications (hereinafter also referred to as “categories”) as indicators of individual data in the data group. For example, having categories such as about 50, about 75, and about 100.
  • 45 or 70 disease categories are selected as specific aspects of the disease name and implemented in the disease diagnosis means.
  • the data set includes 50,000 to 500,000 or more labeled disease images. These disease images have labels (disease names) determined by a doctor specializing in skin diseases.
  • the labeled data group for each indicator has a sufficient number of disease images for determining the diagnosis result.
  • the feature amount refers to the amount that characterizes the disease image.
  • this feature amount data can be represented by numerical values such as multidimensional vectors.
  • Each of the disease images can be converted into the feature data by an algorithm, also called feature extractor. Examples of such algorithms include SIFT (Scale-Invariant Feature Transform) and HOG (Histograms of Oriented Gradients).
  • the deep convolutional neural network model first creates a hypothetical deep neural network model, trains the deep neural network model with a large amount of disease image data group, calculates the feature amount, and corrects the feature amount. Comparing with the feature quantity, correcting the calculation formula, and repeating these steps completes the learning, and the target deep convolutional neural network model can be obtained.
  • the deep convolutional neural network model refers to a deep neural network in which the layers of the neural network are deepened many times, and which is defined by dividing the layers of the neural network into a convolutional layer and a pooling layer. .
  • the deep convolutional neural network model is preferably a multilayer, for example, 34-layer ResNet (Residual Network) model.
  • the disease name can be provided as multiple disease name candidates. For example, 2, 3, 5, or 10 disease candidate names can be sent to the control means (120).
  • the diagnostic information can include the f1-score, sensitivity, and specificity of the disease (class). For example, if the disease name is 5, information such as sensitivity >75% and specificity >98% can be included.
  • the percentage display does not indicate the probability of the disease name, but represents the percentage based on the diagnostic defined image. Sensitivity is the rate of correctly determined to be in the corresponding class, and specificity can be said to be the rate of correctly determined not to be in the relevant class.
  • the f1-score represents the average of precision and recall.
  • the disease diagnosis means (130) will be further explained by First Derm (registered trademark) as a specific embodiment of the disease diagnosis means (130).
  • FirstDerm registered trademark
  • pytorch a deep convolutional neural network
  • markers classifying skin diseases into 45 and 70 categories are used to create a tentative model using the Fasti library using the pie torch.
  • the model of the deep convolutional neural network is based on a 34-layer ResNet fine-tuned to the image that the user sent to the treatment support device (100).
  • the model uses one-cycle super-convergence for fast learning time, as well as discriminative layer learning to ensure optimal transfer learning.
  • Transfer Learning is a method of making learning (learned model) in one area useful in another area for efficient learning.
  • the model uses a simultaneous input method to capture metadata and text input. To ensure that each final label contains a sufficient number of example images, we use a label hierarchy with multiple layers of meaningful coarse labels. Oversampling and thresholding are performed to handle class imbalance. The final accuracy is improved by a homegrown TTA technique (test-time augmentation procedure) and ensemble learning.
  • Diseases as markers of the 45 classes are acne, actinic keratosis, hemangiomas, atopic dermatitis, atypical moles, balanitis, basal cell carcinoma, Lyme disease, frostbite, genital warts, and contact dermatitis.
  • the treatment support system according to the present invention includes a skin disease treatment support device (100) connected via a network (900), a user terminal ( 200), and optionally a store management device (300), wherein the treatment support device receives user information including disease images and location information from the user terminal (200),
  • the user terminal (200) includes diagnostic information including disease name, product information including product name responding to the diagnostic information, store name and store location where the product can be obtained, and arbitrarily inventory information.
  • the system is characterized by comprising a control means (120) for processing the diagnostic information, the product information, and the store information according to the user information and transmitting the processed information to the transmitting/receiving means (110).
  • a step (S2) of acquiring the diagnostic information from the disease diagnostic means (130) and a step of acquiring the product name corresponding to the disease name of the diagnostic information from the product DB (121) by the control means in the treatment support device ( S3), based on the location information of the user information, store information including store names and store locations of stores near the location and stores from the Internet store is stored in the store DB by the control means in the treatment support device.
  • the control means in the treatment support device transfers the inventory information including stores having inventory of the product from among the stores and the inventory amount to the store management device (300). ), and the transmitting/receiving means (110) in the treatment support device (100), the diagnostic information including the disease name and the product name responding to the diagnostic information are sent to the user terminal (200) and a step (S7) of transmitting store information including the store name, store location, and inventory information where the product can be obtained.
  • Each functional processing unit reads a computer program stored in a storage device such as a ROM (Read Only Memory) or a hard disk by a CPU (Central Processing Unit) built into the computer device, and reads the computer program executed by the CPU.
  • a storage device such as a ROM (Read Only Memory) or a hard disk by a CPU (Central Processing Unit) built into the computer device, and reads the computer program executed by the CPU.
  • each functional processing unit reads and writes necessary data such as a table from a database stored in a storage device and a storage area on a memory, and depending on the case, related hardware (for example, input output device, display device, communication interface device).
  • the database (DB) in the embodiment of the present invention may be a commercial database, but it also means a mere collection of tables and files, and the internal structure of the database itself does not matter.
  • the database may also be considered as one server (database server).
  • treatment support device 110 transmission/reception means 120 control means 121 product DB 122 store database 123 User DB 124 Medical institution database 130 disease diagnosis means 131 data group 132 conversion unit 133 neural network 200 user terminal 300 store management device 400 medical appointment device

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PCT/JP2021/036999 2021-10-06 2021-10-06 治療支援装置、システム、及び方法 WO2023058157A1 (ja)

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JP2010515489A (ja) * 2007-01-05 2010-05-13 マイスキン インコーポレイテッド 皮膚を撮像するためのシステム、装置、及び方法
JP2015530886A (ja) * 2012-06-27 2015-10-29 バウチャー、ライアン 医療診断情報を取得するための装置、方法、およびシステム、ならびに遠隔医療サービスの提供
JP2018038789A (ja) * 2016-09-02 2018-03-15 カシオ計算機株式会社 診断支援装置、及び診断支援装置における画像処理方法、並びにプログラム

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