System and device for diagnosing disease by using artificial intelligence, and operating method thereof

Abstract

The present invention relates to a system and a device for diagnosing disease by using artificial intelligence, and an operating method thereof. The method may comprise the steps of: acquiring an interpretation report in which interpretation results of a medical image is recorded in a non-standardized form, a prompt including a user request to be input into an artificial intelligence model for disease diagnosis, and a template for standardizing and storing information necessary for the disease diagnosis; generating, on the basis of the prompt, the template and the interpretation, report input information for diagnosing the medical image; extracting diagnosis information necessary for the disease diagnosis from the input information; recording the extracted diagnosis information in the template; transmitting the diagnosis information recorded in the template to a designated server including the artificial intelligence model; receiving diagnosis results of the medical image from the server; and providing the received diagnosis result. The present invention can improve the speed, accuracy and / or objectivity of disease diagnosis. In addition, the present invention can provide an effective treatment method on the basis of the diagnosis results. Therefore, the present invention can improve the efficiency of disease diagnosis.

Description

A system and device for diagnosing diseases using artificial intelligence, and an operating method thereof

[0001] The present invention relates to a system and device for diagnosing a disease using artificial intelligence, and an operating method thereof.

[0002]

[0003] With the recent increase in research and interest in artificial intelligence, interest in AI is also growing in the medical field. For example, there is growing interest in technologies that analyze medical images using AI to diagnose diseases (e.g., lesions). Meanwhile, accurately diagnosing (or predicting) a patient's disease status is crucial for appropriate treatment. For example, in the case of cancer patients, accurately diagnosing the progression (or stage) of the cancer can be crucial for determining the appropriate treatment method.

[0004] However, accurately diagnosing diseases based solely on medical image analysis can be challenging. For example, a diagnostic device can detect cancer cell characteristics (e.g., size, texture, shape, etc.) from medical images and diagnose the disease based on these characteristics. However, accurately predicting the disease status based solely on these characteristics can be difficult. Therefore, there is a growing need for methods that utilize medical images in conjunction with other information (e.g., diagnostic reports) to diagnose diseases.

[0005] The present invention can provide a system and device for diagnosing a disease using artificial intelligence that can improve the speed and / or accuracy of disease diagnosis, and an operating method thereof.

[0006] In addition, the present invention can provide a system and device for diagnosing a disease using artificial intelligence that can improve the objectivity of disease diagnosis, and an operating method thereof.

[0007] An operating method of a device for diagnosing a disease using an artificial intelligence model according to an embodiment of the present invention may include the steps of: obtaining a diagnosis text in which a result of a medical image interpretation is recorded in a non-standardized form; a prompt including a user request to be input into an artificial intelligence model for diagnosing a disease; and a template for standardizing and storing information necessary for diagnosing the disease; generating input information for diagnosing the medical image based on the prompt, the template, and the diagnosis text; extracting diagnostic information necessary for diagnosing the disease from the input information; recording the extracted diagnostic information in the template; transmitting the diagnostic information recorded in the template to a designated server including the artificial intelligence model; receiving a diagnosis result of the medical image from the server; and providing the received diagnostic result.

[0008] According to one embodiment, the step of extracting diagnostic information necessary for diagnosing the disease may include a step of extracting information necessary for estimating the stage of the disease from the input information.

[0009] According to one embodiment, the step of extracting diagnostic information necessary for diagnosing the disease may include the step of transmitting the input information to the server including the artificial intelligence model.

[0010] In one embodiment, the disease comprises lung cancer, and the step of providing the received diagnostic result may comprise the step of providing staging information of the lung cancer.

[0011] According to one embodiment, the step of providing the received diagnostic result may include the step of providing a treatment method according to the diagnostic result.

[0012] According to one embodiment, the step of generating the input information may include a step of converting the unstructured data of the reading text into a structured form that can be processed by the artificial intelligence model.

[0013] In one embodiment, the step of generating the input information may include the step of pre-processing the prompt, the template, and the readout.

[0014] According to one embodiment, the artificial intelligence model may include a Large Language Model (LLM).

[0015] According to one embodiment of the present invention, a device for diagnosing a disease using an artificial intelligence model includes a communication module; a display; and a processing module connected to the communication module and the display, wherein the processing module obtains a reading text recording a result of a medical image interpretation in a non-standardized form, a prompt including a user request to be input into an artificial intelligence model for diagnosing a disease, and a template for standardizing and storing information necessary for diagnosing the disease, and may include a processing module for combining the prompt, the template, and the reading text to generate input information for diagnosing the medical image, extracting diagnostic information necessary for diagnosing the disease from the input information, recording the extracted diagnostic information in the template, and controlling the communication module to transmit the diagnostic information recorded in the template to a designated server including the artificial intelligence model, controlling the communication module to receive a diagnostic result of the medical image from the server, and controlling the display to provide the received diagnostic result.

[0016] According to one embodiment, the processing module can extract information necessary for estimating the stage of a disease from the input information as the diagnostic information.

[0017] In one embodiment, the processing module may control the communication module to transmit the input information to the server including the artificial intelligence model to extract the diagnostic information.

[0018] In one embodiment, the disease includes lung cancer, and the diagnostic result may include staging information of the lung cancer.

[0019] According to one embodiment, the processing module can provide a treatment method based on the diagnosis result through the display.

[0020] According to one embodiment, the processing module may convert the unstructured data of the reading text into a structured form that can be processed by the artificial intelligence model before generating the input information.

[0021] A system for diagnosing a disease using an artificial intelligence model according to one embodiment of the present invention may include a server including an artificial intelligence model for diagnosing a disease; and a medical examination device that obtains an interpretation text recording a result of interpretation of a medical image in a non-standardized form, a prompt including a user request to be input into an artificial intelligence model for diagnosing a disease, and a template for standardizing and storing information necessary for diagnosing the disease, combines the prompt, the template, and the interpretation text to generate input information for diagnosing the medical image, extracts diagnosis information necessary for diagnosing the disease from the input information, records the extracted diagnosis information in the template, transmits the diagnosis information recorded in the template to the server, receives a diagnosis result of the medical image from the server, and provides the received diagnosis result.

[0022] The present invention can improve the speed and / or accuracy of disease diagnosis. For example, the present invention utilizes an artificial intelligence model (e.g., a Large Language Model (LLM)) to quickly and accurately extract information necessary for disease diagnosis from medical image interpretations, and based on the extracted information, can quickly and accurately diagnose a disease (e.g., determine the stage of cancer).

[0023] Furthermore, the present invention can improve the objectivity of disease diagnosis. For example, by extracting diagnostic information from medical records using an artificial intelligence model, the present invention can eliminate subjective judgments by doctors and enhance objectivity.

[0024] Furthermore, the present invention can provide effective treatment methods based on diagnostic results. This can enhance the efficiency of disease diagnosis.

[0025] FIG. 1 is a diagram illustrating a system for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0026] FIG. 2 is a flowchart illustrating an operation method of a system for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0027] FIG. 3 is a flowchart illustrating an operation method of a system for diagnosing a disease using artificial intelligence according to another embodiment of the present invention.

[0028] FIG. 4 is a block diagram illustrating the configuration of a device for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0029] FIG. 5 is a flowchart illustrating an operation method of a device for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0030]

[0031] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings. The advantages and features of the present invention, and methods for achieving them, will become clear with reference to the embodiments described in detail below together with the attached drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms. These embodiments are provided only to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Hereinafter, like reference numerals refer to like elements.

[0032] Although the terms first, second, etc. are used to describe various elements, components, and / or sections, these elements, components, and / or sections are not limited by these terms. These terms are only used to distinguish one element, component, or section from other elements, components, or sections. Accordingly, it should be understood that a first element, a first component, or a first section referred to below may also be a second element, a second component, or a second section within the technical spirit of the present invention.

[0033] The terminology used herein is for the purpose of describing embodiments only and is not intended to be limiting of the present invention. In this specification, the singular also includes the plural unless the context clearly dictates otherwise. As used herein, the terms "comprises" and / or "made of" do not exclude the presence or addition of one or more other components, steps, operations, and / or elements.

[0034] Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in their common sense to those of ordinary skill in the art to which the present invention pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

[0035] Hereinafter, the configuration of the present invention will be described in detail with reference to the attached drawings.

[0036]

[0037] FIG. 1 is a diagram illustrating a system for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0038] Referring to FIG. 1, a system (1000) for diagnosing a disease using artificial intelligence according to one embodiment of the present invention may include a medical examination device (100) and a server (200).

[0039] The medical examination device (100) can obtain a medical image (e.g., an X-ray photograph, an ultrasound photograph, a computed tomography (CT) photograph, a magnetic resonance imaging (MRI) photograph, etc.) that captures a part of the body (e.g., a lung) of a patient (e.g., a lung cancer patient). For example, the medical examination device (100) can transmit (or receive) a medical image from a photographing device (not shown) that captures a part of the body of a patient or a storage system (e.g., a picture archiving communication system (PACS)) (not shown) that stores the medical image through wired or wireless communication. According to some embodiments, the medical examination device (100) can be included in a photographing device that captures a medical image.

[0040] According to one embodiment, a medical examination device (100) may obtain a medical image-related interpretation, prompt, and / or template. The interpretation may include information (e.g., a document) that records, in an informal format (e.g., text or voice), the interpretation of a medical image through visual observation by an examiner (e.g., a doctor). The template may standardize (or format) and store information extracted from the interpretation for disease diagnosis. The prompt may include a user request (e.g., a question) input into an artificial intelligence model (210) that performs disease diagnosis. The prompt may be pre-stored. Alternatively, the prompt may be input (or additionally input) by a user (e.g., a doctor) when diagnosing a disease.

[0041] The medical examination device (100) can generate input information (also referred to as input data) based on the acquired reading text, prompts, and templates (or by combining the reading text, prompts, and templates). Furthermore, the medical examination device (100) can preprocess the input information to extract necessary information and convert it into a standardized format. For example, the medical examination device (100) can convert unstructured data included in the reading text into structured data that can be processed by the artificial intelligence model (210).

[0042] The medical examination device (100) can extract necessary information from the reading text based on the prompt and record the extracted information in a template.

[0043] The medical examination device (100) can transmit information stored in a template to a server (200) and receive a diagnosis result from the server (200). The server (200) can provide stage information according to the TNM (Tumor Node Metastasis) classification in various forms (e.g., “stage T2b”, “T stage is T2b”). The medical examination device (100) can post-process the received diagnosis result to provide stage information. For example, the medical examination device (100) can post-process (e.g., extract necessary information from the diagnosis result) the TNM stage information included in the received diagnosis result into a designated form (e.g., a form desired by the user) and provide the TNM stage information in a post-processed form (e.g., “T2b”). In addition, the medical examination device (100) can provide treatment information (e.g., treatment method) suitable for the patient based on the stage information.

[0044] The server (200) can be connected to the medical examination device (100) via wired or wireless communication. The server (200) can perform disease diagnosis. For example, the server (200) can perform disease diagnosis (e.g., lung cancer stage) based on information received from the medical examination device (100). Specifically, the server (200) can predict (or estimate) the lung cancer stage according to the TNM classification system based on information extracted from the reading text.

[0045] The server (200) may include an artificial intelligence model (210). In one embodiment, the artificial intelligence model (210) may extract information necessary for disease diagnosis from the reading text. In addition, the artificial intelligence model (210) may perform disease diagnosis (e.g., predict the stage of lung cancer). The artificial intelligence model (200) may include a generative artificial intelligence model (e.g., a Large Language Model (LLM)).

[0046]

[0047] FIG. 2 is a flowchart illustrating an operation method of a system for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0048] Referring to FIG. 2, the operating method of a system for diagnosing a disease using artificial intelligence (hereinafter, referred to as a disease diagnosis system) according to an embodiment of the present invention may include a step (S201) of obtaining a reading text, a prompt, and a template. For example, the medical examination device (100) may obtain the reading text, the prompt, and the template from an input module that receives user input and / or a designated external device (e.g., a PACS).

[0049] The method of operating a disease diagnosis system may include a step (S203) of generating input information based on a reading, a prompt, and / or a template. For example, the medical examination device (100) may generate input information (or input data) based on the reading, the prompt, and the template. Furthermore, the medical examination device (100) may preprocess the input information to extract necessary information and convert it into a standardized format. Specifically, the medical examination device (100) may convert unstructured data included in the reading into structured data that can be processed by an artificial intelligence model.

[0050] The operating method of the disease diagnosis system may include a step (S205) of extracting information necessary for disease diagnosis (hereinafter, "diagnostic information"). For example, the medical examination device (100) may extract diagnostic information necessary for disease diagnosis (e.g., disease stage estimation) from input information. Specifically, the medical examination device (100) may extract diagnostic information to be recorded in a template from the reading text.

[0051] The operating method of the disease diagnosis system may include a step (S207) of recording the extracted diagnostic information in a template. For example, the medical examination device (100) may record the extracted diagnostic information in a template.

[0052] The operating method of the disease diagnosis system may include a step (S209) of transmitting recorded diagnostic information. For example, the medical examination device (100) may transmit the diagnostic information to the server (200) via wired or wireless communication.

[0053] The operating method of the disease diagnosis system may include a step (S211) of performing a disease diagnosis. For example, the server (200) may perform a disease diagnosis (e.g., estimate the stage of the disease) based on the above-mentioned diagnostic information using an artificial intelligence model (e.g., a large language model (LLM)).

[0054] The operating method of the disease diagnosis system may include a step (S213) of transmitting the diagnosis result. For example, the server (200) may transmit the diagnosis result to the medical examination device (100) via wired or wireless communication.

[0055] The method of operating a disease diagnosis system may include a step (S215) of providing a diagnosis result. For example, the medical examination device (100) may post-process the diagnosis result and provide disease stage information and / or treatment information based on disease stage information.

[0056]

[0057] FIG. 3 is a flowchart illustrating an operation method of a system for diagnosing a disease using artificial intelligence according to another embodiment of the present invention.

[0058] Referring to FIG. 3, the operating method of a system for diagnosing a disease using artificial intelligence (hereinafter, referred to as a disease diagnosis system) according to an embodiment of the present invention may include a step (S301) of obtaining a reading text, a prompt, and a template. For example, the medical examination device (100) may obtain the reading text, the prompt, and the template from an input module that receives user input and / or a designated external device (e.g., a PACS).

[0059] The method of operating a disease diagnosis system may include a step (S303) of generating input information based on a reading, a prompt, and / or a template. For example, the medical examination device (100) may generate input information (or input data) based on the reading, the prompt, and the template. Furthermore, the medical examination device (100) may preprocess the input information to extract necessary information and convert it into a standardized format. Specifically, the medical examination device (100) may convert unstructured data included in the reading into structured data that can be processed by an artificial intelligence model.

[0060] The method of operating the disease diagnosis system may include a step (S305) of transmitting input information. For example, the medical examination device (100) may transmit the input information to the server (200) via wired or wireless communication.

[0061] The operating method of the disease diagnosis system may include a step (S307) of extracting information necessary for disease diagnosis (hereinafter, “diagnostic information”). For example, the server (200) may extract diagnostic information necessary for disease diagnosis (e.g., disease stage estimation) from input information using an artificial intelligence model (e.g., a large language model (LLM)). Specifically, the server (200) may extract diagnostic information from the reading text based on a prompt. Meanwhile, the operating method of the disease diagnosis system may further include a step of recording the extracted diagnostic information in a template. For example, the server (200) may record the extracted diagnostic information in a template and transmit the template to a medical examination device (100). Alternatively, the server (200) may transmit the extracted diagnostic information to the medical examination device (100), and the medical examination device (100) may record the extracted diagnostic information in the template.

[0062] The operating method of the disease diagnosis system may include a step (S309) of performing a disease diagnosis. For example, the server (200) may perform a disease diagnosis (e.g., estimate the stage of the disease) based on the diagnostic information using an artificial intelligence model (e.g., a large language model (LLM)).

[0063] The operating method of the disease diagnosis system may include a step (S311) of transmitting the diagnosis result. For example, the server (200) may transmit the diagnosis result to the medical examination device (100) via wired or wireless communication.

[0064] The method of operating a disease diagnosis system may include a step (S313) of providing a diagnosis result. For example, the medical examination device (100) may post-process the diagnosis result and provide disease stage information and / or treatment information based on disease stage information.

[0065]

[0066] FIG. 4 is a block diagram illustrating the configuration of a device for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0067] Referring to FIG. 4, a device (hereinafter, medical examination device) (400) for diagnosing a disease using artificial intelligence according to an embodiment of the present invention may include a photographing module (410), a memory (420), a processing module (430), a display (440), a communication module (450), and an input module (460).

[0068] The photographing module (410) can obtain medical images by photographing a part of a patient's body.

[0069] The memory (420) may store a program that controls the operation of the medical examination device (400). In addition, the memory (420) may store information necessary to control the operation of the medical examination device (400). For example, the memory (420) may store commands or instructions necessary to control the operation of the medical examination device (400). According to one embodiment, the memory (420) may store medical images. In addition, the memory (420) may store reading text, prompts, and / or templates. In addition, the memory (420) may store diagnosis results.

[0070] The processing module (430) can control the overall operation of the medical examination device (400). The processing module (430) can receive commands or instructions from the memory (420) and control each component according to the received commands or instructions to perform various functions. According to one embodiment, the processing module (430) can control the operation of diagnosing a disease of the medical examination device (400). A detailed description thereof will be described later with reference to FIG. 5. The processing module (430) can be formed of a processor, a central processing unit (CPU), a micro control unit (MCU), a micro processor unit (MPU), or the like.

[0071] The display (440) can provide (e.g., output or display) various images (e.g., still images and / or moving images). In one embodiment, the display (440) can provide medical images. Additionally, the display (440) can provide diagnostic results. For example, the display (440) can provide disease stage information and / or treatment information for a disease (e.g., lung cancer).

[0072] The communication module (450) may support wired and / or wireless communication with an external device (e.g., a server (200)). According to one embodiment, the communication module (450) may transmit diagnostic information necessary for diagnosing a disease to the server (200) and receive diagnostic results from the server (200). According to another embodiment, the communication module (450) may transmit input information to the server (200) and receive diagnostic results from the server (200).

[0073] The input module (460) may support user input. For example, the input module (460) may include multiple input devices (e.g., buttons, dials, keyboards, mice, etc.) for operating the medical examination device (400). In one embodiment, the input module (460) may support input of user request prompts. Additionally, the input module (460) may support user input for writing a reading statement.

[0074] Meanwhile, the medical examination device (400) according to one embodiment of the present disclosure may not include some of the above-described components (e.g., the photographing module (410)), or may further include at least one other component.

[0075]

[0076] FIG. 5 is a flowchart illustrating an operation method of a device for diagnosing a disease using artificial intelligence according to one embodiment of the present invention.

[0077] Referring to FIG. 5, the operating method of a device for diagnosing a disease using artificial intelligence (hereinafter, referred to as a medical examination device) according to an embodiment of the present invention may include a step (S501) of obtaining a reading text, a prompt, and a template. For example, the medical examination device (100) may obtain the reading text, the prompt, and the template from an input module that receives user input and / or a designated external device (e.g., a PACS).

[0078] The method of operating a medical examination device may include a step (S503) of combining a reading text, a prompt, and / or a template. For example, the processing module (430) of the medical examination device (400) may generate input information (or input data) based on the reading text, the prompt, and the template. In addition, the processing module (430) may preprocess the input information to extract information necessary for disease diagnosis and convert it into a standardized format. Specifically, the processing module (430) may convert unstructured data included in the reading text into structured data that can be processed by an artificial intelligence model.

[0079] The method of operating a medical examination device may include a step (S505) of transmitting input information to a designated server. For example, the communication module (450) of the medical examination device (100) may transmit the input information to the server (200). At this time, the server (200), after receiving the input information, may extract information necessary for disease diagnosis (hereinafter, diagnostic information) from the input information and perform a disease diagnosis based on the extracted diagnostic information. According to one embodiment, the server (200) may extract diagnostic information necessary for disease diagnosis from the input information using an artificial intelligence model (e.g., a large language model (LLM)). Specifically, the server (200) may extract diagnostic information necessary for disease diagnosis (e.g., estimating the stage of the disease) from the reading text based on a prompt. In addition, the server (200) may perform a disease diagnosis (e.g., estimating the stage of the disease) based on the diagnostic information using an artificial intelligence model (e.g., a large language model (LLM)).

[0080] The method of operating a medical examination device may include a step (S507) of receiving a diagnosis result. For example, the medical examination device (400) may receive the diagnosis result from the server (200) via the communication module (450).

[0081] The method of operating a medical examination device may include a step (S509) of providing a diagnosis result. For example, the processing module (430) of the medical examination device (400) may post-process the diagnosis result and provide disease information and / or treatment information based on disease information.

[0082]

[0083] While the present invention has been described with reference to the illustrated embodiments as described above, these are merely exemplary, and those skilled in the art to which the present invention pertains will readily appreciate that various modifications, changes, and equivalent variations of the present invention are possible without departing from the spirit and scope of the invention. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

Claims

1. In the operating method of a device for diagnosing a disease using an artificial intelligence model, A step of obtaining a reading report that records the results of interpretation of a medical image in a non-standardized format, a prompt including a user request to be input into an artificial intelligence model for disease diagnosis, and a template for standardizing and storing information required for the disease diagnosis; A step of generating input information for diagnosing the medical image based on the prompt, the template, and the reading text; A step of extracting diagnostic information necessary for diagnosing the disease from the input information; A step of recording the extracted diagnostic information in the template; A step of transmitting the diagnostic information recorded in the above template to a designated server including the artificial intelligence model; A step of receiving the diagnosis result of the medical image from the server; and A method comprising the step of providing the above-described diagnostic results.

2. In paragraph 1, The step of extracting diagnostic information necessary for diagnosing the above disease is A method comprising a step of extracting information necessary for estimating the stage of a disease from the above input information.

3. In paragraph 2, The step of extracting diagnostic information necessary for diagnosing the above disease is A method comprising a step of transmitting the input information to the server including the artificial intelligence model.

4. In paragraph 1, The above diseases include lung cancer, The step of providing the above received diagnostic results is A method comprising the step of providing staging information of the lung cancer.

5. In paragraph 1, The step of providing the above received diagnostic results is A method comprising a step of providing a treatment method according to the above diagnostic results.

6. In paragraph 1, The steps for generating the above input information are A method comprising a step of converting the unstructured data of the above-mentioned reading text into a structured form that can be processed by the above-mentioned artificial intelligence model.

7. In paragraph 6, The steps for generating the above input information are A method comprising the steps of pre-processing the above prompt, the above template and the above reading text.

8. In paragraph 1, The above artificial intelligence model A method that includes a Large Language Model (LLM).

9. In a device for diagnosing a disease using an artificial intelligence model, Communication module; display; and Includes a processing module connected to the communication module and the display, The above processing module Obtain a medical image interpretation report in a non-standardized format, a prompt including a user request to be input into an artificial intelligence model for disease diagnosis, and a template for standardizing and storing information required for the disease diagnosis. Generate input information for diagnosing the medical image by combining the above prompt, the above template, and the above reading text, Extract diagnostic information necessary for diagnosing the disease from the above input information, Record the above extracted diagnostic information in the above template, Control the communication module to transmit the diagnostic information recorded in the template to a designated server including the artificial intelligence model, Controlling the communication module to receive the diagnosis results of the medical image from the server, A device comprising a processing module for controlling the display to provide the received diagnostic results.

10. In paragraph 9, The above processing module A device for extracting information necessary for estimating the stage of a disease from the above input information as the above diagnostic information.

11. In paragraph 10, The above processing module A device that controls the communication module to transmit the input information to the server including the artificial intelligence model to extract the diagnostic information.

12. In paragraph 9, The above diseases include lung cancer, The above diagnostic results are A device including the staging information of the above lung cancer.

13. In paragraph 9, The above processing module A device that provides a treatment method according to the diagnosis result through the above display.

14. In paragraph 9, The above processing module A device that converts the unstructured data of the above-mentioned reading text into a structured form that can be processed by the above-mentioned artificial intelligence model before generating the above-mentioned input information.

15. In a system for diagnosing diseases using an artificial intelligence model, A server including an artificial intelligence model for disease diagnosis; and A system comprising a medical examination device that obtains a medical image interpretation result recorded in a non-standardized form, a prompt including a user request input into an artificial intelligence model for disease diagnosis, and a template for standardizing and storing information necessary for the disease diagnosis, combines the prompt, the template, and the interpretation to generate input information for diagnosing the medical image, extracts diagnostic information necessary for the disease diagnosis from the input information, records the extracted diagnostic information in the template, transmits the diagnostic information recorded in the template to the server, receives the diagnostic result of the medical image from the server, and provides the received diagnostic result.

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