JP6968843B2 - Medical diagnostic server, medical diagnostic method, and program - Google Patents

Description

The present invention relates to a method of outputting information on diagnosis to a medical diagnostic system that takes an image of a patient and makes a diagnosis.

In the medical field, quick and accurate judgment by doctors is required. In order to streamline the work of doctors, for example, information that can be used as a reference for diagnosis when performing medical diagnostic imaging is displayed, and input candidates are selected when creating a report after diagnostic imaging. Support such as displaying is conceivable.

As a technique for performing medical image diagnosis, a method for solving a problem caused by a low resolution of a medical image has been proposed (Patent Document 1).

JP-A-2018-5814

However, although the technique of Patent Document 1 can solve the problem caused by the low resolution of the medical image, in order to comprehensively improve the efficiency of the doctor's work, information that can be used as a reference for diagnosis is provided. Comprehensive support such as displaying and assisting in the input of reports is insufficient.

In response to this problem, the inventor of the present invention confirms in advance information on the attributes of the patient and the imaged site in addition to the image when the doctor makes an image diagnosis, and the past of other patients. I focused on referring to a similar report in. In addition, when determining the similarity of medical images, it was confirmed that the medical images were hashed and the determination based on the Hamming distance between the images was effective.

The present invention is a medical diagnostic server capable of providing comprehensive support for streamlining the work of a doctor by outputting information related to the patient's diagnosis to a medical diagnostic system that captures an image of the patient and makes a diagnosis. The purpose is to provide medical diagnostic methods and programs.

The present invention provides the following solutions.

The invention according to the first feature is
It is a medical diagnostic server that takes images of patients and makes a diagnosis.
An image acquisition means for acquiring an image of the patient taken, and
Attribute including gender and age of the patient, pre-confirmation data acquisition means to acquire pre-confirmation data including at least information on the imaged part, and
Finding data that is a doctor's finding on the image, or finding data acquisition means for acquiring a doctor's selection for the plurality of keywords.
A diagnostic output means for outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
Provide a medical diagnostic server equipped with.

According to the invention according to the first feature, in a medical diagnostic server that captures an image of a patient and makes a diagnosis, an image acquisition means for acquiring the captured image of the patient and the sex and age of the patient are determined. Pre-confirmation data acquisition means for acquiring pre-confirmation data including at least information on included attributes and photographed parts, finding data that is the findings of the doctor for the image, or findings for acquiring the selection of the doctor for the plurality of keywords. It includes a data acquisition means and a diagnostic output means for outputting information on the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.

The invention according to the first feature is in the category of medical diagnostic server, but the same operation and effect can be obtained even with a medical diagnostic method and a program.

The invention according to the second feature is a medical diagnostic server according to the first feature.
Every time the finding data is acquired or the selected keyword is acquired, the information regarding the diagnosis of the patient is reselected in real time and the output is updated.

According to the invention of the second aspect, the medical diagnosis server an invention according to the first aspect, each time acquiring the finding data, or for each to get the selected keyword, the patient Update the output by reselecting diagnostic information in real time.

The invention according to the third feature is a medical diagnostic server according to the first or second feature.
The diagnostic output means causes a predetermined terminal to output information regarding the diagnosis of the patient selected by machine learning.

According to the invention of the third aspect, in the medical diagnosis server an invention according to the first or second aspect, the diagnostic output means, diagnosis of information prescribed for the patients selected by machine learning terminal To output to.

The invention according to the fourth feature is
In a medical diagnostic method that takes an image of a patient to make a diagnosis
The step of acquiring the image of the patient taken and
Attribute including gender and age of the patient, step to acquire prior confirmation data including at least information on the imaged part, and
A step of acquiring finding data which is a doctor's finding for the image or a doctor's selection for the plurality of keywords.
A step of outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
Provide a medical diagnostic method.

The invention according to the fifth feature is
For medical diagnostic servers that take images of patients and make diagnoses,
Steps to acquire the image of the patient taken
Attribute including gender and age of the patient, step to acquire prior confirmation data including at least information on the imaged part,
A step of acquiring finding data which is a doctor's finding on the image or a doctor's selection for the plurality of keywords.
A step of outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
Provide a program to execute.

According to the present invention, a medical diagnosis server that captures an image of a patient and performs a diagnosis outputs information on the diagnosis of the patient, thereby providing comprehensive support for streamlining the work of a doctor. It will be possible to provide servers, medical diagnostic methods, and programs.

It is a schematic diagram of the preferred embodiment of the present invention. It is the outline of the medical diagnosis system, and the functional block diagram of the server 100, the terminal 200, and the medical imaging apparatus 300. It is a flowchart of the diagnostic information output processing. It is the outline of the medical diagnosis system in the case of acquiring the finding data, and the functional block diagram of the server 100, the terminal 200, and the medical imaging apparatus 300. It is a flowchart of the diagnostic information output processing at the time of acquiring the finding data. This is an example of the screen of the terminal 200 that outputs diagnostic information. This is an example of a screen in which diagnostic information is updated after acquisition of finding data. It is an image diagram of a hash value when determining a similar image.

Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. It should be noted that this is only an example, and the technical scope of the present invention is not limited to this.

[Overview of medical diagnostic system]
FIG. 1 is a schematic diagram of a preferred embodiment of the present invention. The outline of the present invention will be described with reference to FIG. As shown in FIG. 2, the medical diagnostic system may be composed of a server 100, a terminal 200, a medical imaging device 300, and a communication network 400. It is assumed that the server 100 is a device capable of operating a medical diagnostic system. Although a desktop computer is shown here, it may be a notebook computer, a smartphone, a tablet terminal, or the like. The number is not limited to one and may be plural, and may be a virtual device or a cloud as well as an existing device. The server 100 includes a control unit 110, a communication unit 120, a storage unit 130, an input unit 140, and an output unit 150. The control unit 110 includes an image acquisition module 111, a prior confirmation data acquisition module 112, and a diagnostic output module 113. The control unit 110 cooperates with the communication unit 120, the storage unit 130, the input unit 140, and the output unit 150 as needed to realize each means. The terminal 200 is a terminal used by a doctor who uses a medical diagnostic system. Although a computer integrated with a display is shown here, it may be a desktop computer, a laptop computer, a smartphone, a tablet terminal, a wearable terminal, or the like. The number is not limited to one and may be plural. The terminal 200 includes a control unit 210, a communication unit 220, a storage unit 230, an input unit 240, and an output unit 250. The medical imaging device 300 is a medical imaging device used by a doctor who uses a medical diagnostic system to photograph a patient. For example, an X-ray diagnostic image (X-ray, angiography, etc.) imaging device, a computer tomography (CT, MRI, etc.) imaging device, a nuclear medicine diagnostic image (scintigraphy, PET, etc.) imaging device, ultrasonography. Examples include an image taking device for endoscopy, an image taking device for endoscopy, a fundus camera, and the like. The number is not limited to one and may be plural. The medical imaging device 300 includes an imaging unit 30, a control unit 310, a communication unit 320, a storage unit 330, an input unit 340, and an output unit 350. It is assumed that the imaging unit 30 of the medical imaging apparatus 300 can capture an image having a resolution sufficient for diagnosis. The communication network 400 is a communication network that enables communication between the server 100, the terminal 200, and the medical imaging device 300.

In the medical diagnostic system of FIG. 1, first, the image acquisition module 111 of the server 100 acquires an image of a patient imaged from the medical imaging device 300 (step S01). The images acquired here are medical images such as X-ray diagnostic images, computer tomographic images, nuclear medicine diagnostic images, ultrasonic examination images, endoscopy images, and images taken by a fundus camera.

Next, the prior confirmation data acquisition module 112 of the server 100 acquires the prior confirmation data of the patient (step S02). The prior confirmation data acquired here shall include at least the attributes of the patient such as gender and age, and information on the part where the image was taken. The destination for the prior confirmation data acquisition module 112 to acquire the prior confirmation data may be the terminal 200, another device, a database, a cloud service, or the like.

Finally, the diagnostic output module 113 of the server 100 outputs the information related to the patient's diagnosis to the terminal 200 based on the image of the patient acquired in step S01 and the prior confirmation data acquired in step S02 (step S03). .. Here, the information regarding the diagnosis of the patient shall include at least one of "similar findings data in the past", "related images related to the diagnosis", and "reference information regarding the diagnosis". The "past similar findings data" may be that of another patient or that of the patient. Further, the "reference image for the diagnosis" is assumed to be a medical image associated with similar findings data in the past. Further, the "reference information on the diagnosis" is assumed to be a reference on the diagnosis in the similar findings data in the past, a past case, and the like. In order to extract information on the patient's diagnosis, first, an image similar to the patient's image acquired in step S01 is selected from past medical images and used as a "reference image for the diagnosis". Next, the finding data associated with the selected image is referred to as "past similar finding data". Finally, references related to the diagnosis results included in the findings data, past cases, etc. are extracted and used as "reference information regarding the diagnosis". The search destination of similar past medical images may be the storage unit 130 of the server 100, or may be another device, a database, a cloud service, or the like. Here, machine learning may be used to select an image similar to the patient image acquired in step S01 from past medical images. In addition, machine learning may be used when extracting references related to diagnostic results included in the finding data, past cases, and the like.

FIG. 6 is an example of the screen of the terminal 200 that outputs diagnostic information. The medical diagnosis system displays not only the information related to the diagnosis of the patient but also the acquired image of the patient and the prior confirmation data on the terminal 200. It also allows doctors to enter finding data. In the example of FIG. 6, patient information is displayed in the display area 601 on the left side of the screen based on the acquired prior confirmation data. "Patient attributes" such as gender and age, which are pre-confirmed data, and "examination information" are also displayed for the photographed part. In addition, the "medical examination ticket number", "purpose of examination", and if the patient has a past medical history, the contents of "past diagnosis" may also be displayed. The acquired image of the patient is displayed in the display area 602 at the upper right of the screen. At the same time, the type of an image such as an X-ray image or a CT image may be displayed. Further, the shooting date and time may be displayed. When there are a plurality of captured images, a representative image may be displayed in a large size so that other images can be selected. In the center of the screen, information related to the diagnosis of the patient is displayed as reference information in the display area 603. Here, as similar cases, an example of displaying CT images, patient information, diagnosis, and findings is shown. Further, in the display area 604, a word that is a keyword in the reference information is displayed, and the reference is displayed by having the doctor select it. The doctor can input the findings in the display area 605 at the lower right of the screen while checking the patient information, the image, and the reference information. In addition, if the doctor thinks that the reference information in the display area 603 is not appropriate, he / she can select another similar image case display button 607 to display the next similar medical image and the findings data associated with it. , It may be possible to switch the display area 603. At the top of the screen, information about the doctor to be examined is displayed in the display area 606. When the doctor finishes inputting the findings, he / she can complete the input of the findings and move to the next screen by selecting the input completion button 609. Further, by selecting the button 608 to the menu, the menu screen of the medical diagnostic system is displayed.

As described above, according to the present invention, comprehensive support for streamlining the work of a doctor is provided by outputting information on the diagnosis of a patient to a medical diagnostic system that takes an image of the patient and makes a diagnosis. It will be possible to provide possible medical diagnostic servers, medical diagnostic methods, and programs.

[Explanation of each function]
FIG. 2 is an outline of a medical diagnostic system and a functional block diagram of a server 100, a terminal 200, and a medical imaging device 300. The medical diagnostic system includes a server 100, a terminal 200, a medical imaging device 300, and a communication network 400.

It is assumed that the server 100 is a device capable of operating a medical diagnostic system. Although a desktop computer is shown here, it may be a notebook computer, a smartphone, a tablet terminal, or the like. The number is not limited to one and may be plural, and may be a virtual device or a cloud as well as an existing device. The server 100 includes a control unit 110, a communication unit 120, a storage unit 130, an input unit 140, and an output unit 150.

The server 100 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like as the control unit 110. The control unit 110 includes an image acquisition module 111, a prior confirmation data acquisition module 112, and a diagnostic output module 113. The control unit 110 cooperates with the communication unit 120, the storage unit 130, the input unit 140, and the output unit 150 as needed to realize each means.

The server 100 includes, as a communication unit 120, a device or the like that enables communication with other devices. The communication method may be wireless or wired.

The server 100 includes a data storage unit as a storage unit 130, and stores necessary data such as data acquired from the terminal 200, data acquired from the medical imaging device 300, and data associated with past medical images and finding data. Remember. The data storage unit may be in an external server or cloud.

The server 100 includes a device for realizing input as an input unit 140. Examples are keyboards, mice, touch panels, pen tablets, microphones and the like. Input from another terminal or the like may be realized via the communication unit 120.

The server 100 includes a device for realizing output as an output unit 150. Examples are displays, projectors, speakers and the like. Output to other devices may be realized via the communication unit 120.

The terminal 200 is a terminal used by a doctor who uses a medical diagnostic system. Although a computer integrated with a display is shown here, it may be a desktop computer, a laptop computer, a smartphone, a tablet terminal, a wearable terminal, or the like. The number is not limited to one and may be plural. The terminal 200 includes a control unit 210, a communication unit 220, a storage unit 230, an input unit 240, and an output unit 250.

The terminal 200 includes a CPU, RAM, ROM, and the like as a control unit 210.

The terminal 200 includes a device or the like as a communication unit 220 for enabling communication with other devices. The communication method may be wireless or wired.

The terminal 200 includes a data storage unit as a storage unit 230, and stores necessary data such as input data. The data storage unit may be in an external server or cloud.

The terminal 200 includes a device for realizing input as an input unit 240. Examples are keyboards, mice, touch panels, pen tablets, microphones and the like.

The terminal 200 includes a device for realizing output as an output unit 250. Examples are displays, projectors, speakers and the like.

The medical imaging device 300 is a medical imaging device used by a doctor who uses a medical diagnostic system to photograph a patient. For example, an X-ray diagnostic image (X-ray, angiography, etc.) imaging device, a computer tomography (CT, MRI, etc.) imaging device, a nuclear medicine diagnostic image (scintigraphy, PET, etc.) imaging device, ultrasonography. Examples include an image taking device for endoscopy, an image taking device for endoscopy, a fundus camera, and the like. The number is not limited to one and may be plural. The medical imaging device 300 includes an imaging unit 30, a control unit 310, a communication unit 320, a storage unit 330, an input unit 340, and an output unit 350. It is assumed that the imaging unit 30 of the medical imaging apparatus 300 can capture an image having a resolution sufficient for diagnosis.

The medical imaging device 300 includes a CPU, RAM, ROM, and the like as a control unit 310.

The medical imaging device 300 includes a device or the like as a communication unit 320 for enabling communication with other devices. The communication method may be wireless or wired.

The medical imaging device 300 includes a data storage unit as a storage unit 330, and stores necessary data such as captured medical images. The data storage unit may be in an external server or cloud.

The medical imaging device 300 includes a device for realizing input as an input unit 340. Examples are hardware buttons, keyboards, mice, touch panels, pen tablets, microphones and the like. Input from another terminal or the like may be realized via the communication unit 320.

The medical imaging device 300 includes a device for realizing output as an output unit 350. Examples are displays, projectors, speakers and the like. Output to other devices may be realized via the communication unit 320.

The communication network 400 is a communication network that enables communication between the server 100, the terminal 200, and the medical imaging device 300.

[Diagnostic information output processing]
FIG. 3 is a flowchart of the diagnostic information output process. The process executed by each of the above-mentioned means will be described in this flowchart.

In the medical diagnostic system of FIG. 3, the operator of the medical imaging device 300 first logs in to the medical diagnostic system (step S301). The operator of the medical imaging device 300 may be a doctor or a professional technician. The operator of the medical imaging device 300 needs to register as a user in order to log in to the medical diagnostic system. The login method here is not limited to the present invention, and a general method may be used.

Next, the medical imaging device 300 captures a medical image of the patient (step S302). The images taken here are medical images such as X-ray diagnostic images, computer tomographic images, nuclear medicine diagnostic images, ultrasonic examination images, endoscopy images, and images taken by a fundus camera. In addition, the medical image taken here shall have sufficient resolution for diagnosis.

Next, the image acquisition module 111 of the server 100 acquires an image of the patient imaged from the medical imaging device 300 (step S303). When taking a plurality of images, steps S302 and S303 are repeated for the required number of images.

Next, the doctor who uses the medical diagnostic system logs in to the medical diagnostic system from the terminal 200 (step S304). A doctor who uses a medical diagnostic system needs to register as a user in order to log in to the medical diagnostic system. The login method here is not limited to the present invention, and a general method may be used. Further, even when the flow from step S301 to step S303 is being performed, the processes after step S304 can be performed in parallel.

Next, the doctor who uses the medical diagnostic system inputs the prior confirmation data on the terminal 200 (step S305). The prior confirmation data here shall include at least the attributes of the patient such as gender and age, and information on the part where the image was taken. The input of the prior confirmation data may be performed from another terminal instead of using the terminal 200. Further, the input of the preliminary data may be performed by a nurse or other worker instead of the doctor, if necessary.

Next, the prior confirmation data acquisition module 112 of the server 100 acquires the prior confirmation data (step S306). Here, the destination for the prior confirmation data acquisition module 112 to acquire the prior confirmation data is shown as the terminal 200, but other terminals, devices, databases, cloud services, and the like may be used.

Next, the diagnostic output module 113 of the server 100 searches for a similar image of the patient image acquired in step S303 from past medical images (step S307). It is assumed that the data in which the past medical images are associated with the finding data has already been stored in the storage unit 130 of the server 100, other devices, databases, cloud services, and the like. It is desirable to store not only past medical images and findings data but also patient information in association with each other. As a method of searching for similar images, the images are hashed by a hash method, and those with a short Hamming distance between the images are judged to be similar. It has been confirmed that the hash method is suitable for searching for similar images with high accuracy from a large number of images because it can process at a higher speed than other image classification methods.

FIG. 8 is an image diagram of a hash value when determining a similar image. It is assumed that the hash value of the upper image 801 is "00003c7c7f3c000" and the hash value of the lower image 802 is "00003c7c8f3c0ab". In this case, the Hamming distance between the upper image 801 and the lower image 802 is "3". It is judged that the smaller the value of this Hamming distance is, the higher the similarity is. When searching for similar images, the prior confirmation data acquired in step S306 may be used. Before searching the image, the past medical treatment that performs the search may narrow down the image at the imaged part of the prior confirmation data. Further, depending on the imaging site, the past medical images to be searched may be narrowed down by the gender of the prior confirmation data. Further, when there are a plurality of similar images having the same Hamming distance, it may be determined that the higher the similarity is, the more the pre-confirmed data and the patient have the same gender or the closer the age.

Returning to FIG. 3, next, the diagnostic output module 113 of the server 100 extracts information related to the diagnosis based on the similar image selected in step S307 and the prior confirmation data acquired in step S306 (step S308). Here, the information regarding the diagnosis shall include at least one of "similar findings data in the past", "related images related to the diagnosis", and "reference information regarding the diagnosis". The “past similar finding data” is the finding data of the similar image searched in step S307. Further, it is assumed that the "reference image related to the diagnosis" is a similar image searched in step S307. Further, it is assumed that the "reference information regarding the diagnosis" is a reference regarding the diagnosis in the finding data of the similar image searched in step S307, a past case, or the like. Machine learning may be used to extract diagnostic references, past cases, etc. from finding data of similar images.

Next, the diagnostic output module 113 of the server 100 transmits the information related to the diagnosis extracted in step S308 to the terminal 200 (step S309).

The terminal 200 receives information about the diagnosis from the server 100 (step S310).

Finally, the terminal 200 outputs the information regarding the diagnosis received in step S310 (step S311).

FIG. 6 is an example of the screen of the terminal 200 that outputs diagnostic information. The medical diagnosis system displays not only the information related to the diagnosis of the patient but also the acquired image of the patient and the prior confirmation data on the terminal 200. It also allows doctors to enter finding data. In the example of FIG. 6, patient information is displayed in the display area 601 on the left side of the screen based on the acquired prior confirmation data. "Patient attributes" such as gender and age, which are pre-confirmed data, and "examination information" are also displayed for the photographed part. In addition, the "medical examination ticket number", "purpose of examination", and if the patient has a past medical history, the contents of "past diagnosis" may also be displayed. The acquired image of the patient is displayed in the display area 602 at the upper right of the screen. At the same time, the type of an image such as an X-ray image or a CT image may be displayed. Further, the shooting date and time may be displayed. When there are a plurality of captured images, a representative image may be displayed in a large size so that other images can be selected. In the center of the screen, information related to the diagnosis of the patient is displayed as reference information in the display area 603. Here, as similar cases, an example of displaying CT images, patient information, diagnosis, and findings is shown. Further, in the display area 604, a word that is a keyword in the reference information is displayed, and the reference is displayed by having the doctor select it. The doctor can input the findings in the display area 605 at the lower right of the screen while checking the patient information, the image, and the reference information. In addition, if the doctor thinks that the reference information in the display area 603 is not appropriate, he / she can select another similar image case display button 607 to display the next similar medical image and the findings data associated with it. , It may be possible to switch the display area 603. At the top of the screen, information about the doctor to be examined is displayed in the display area 606. When the doctor finishes inputting the findings, he / she can complete the input of the findings and move to the next screen by selecting the input completion button 609. Further, by selecting the button 608 to the menu, the menu screen of the medical diagnostic system is displayed.

As described above, according to the present invention, comprehensive support for streamlining the work of a doctor is provided by outputting information on the diagnosis of a patient to a medical diagnostic system that takes an image of the patient and makes a diagnosis. It will be possible to provide possible medical diagnostic servers, medical diagnostic methods, and programs.

[Diagnostic information output processing when acquiring finding data]
FIG. 4 is an outline of a medical diagnostic system and a functional block diagram of a server 100, a terminal 200, and a medical imaging device 300 when acquiring finding data. In addition to the configuration of FIG. 2, the control unit 110 of the server 100 is provided with the finding acquisition module 114.

FIG. 5 is a flowchart of the diagnostic information output process when the finding data is acquired.
After step S501 in FIG. 5, the flow follows step S311 in the flowchart of FIG.

First, the terminal 200 confirms whether or not the medical diagnostic system has been input with the findings by the doctor (step S501). If there is no input, the flow of step S501 is performed again after a certain period of time has elapsed. If there is an input, the process proceeds to the next step S502.

Next, the terminal 200 transmits the input data of the findings to the server 100 (step S502).

The finding acquisition module 114 of the server 100 receives the finding data from the terminal 200 (step S503).

Next, the finding acquisition module 114 re-extracts the information related to the diagnosis based on the image received in step S303, the prior confirmation data received in step S306, and the finding data received in step S503 (step S504). In the information extraction here, for example, it is confirmed whether or not the word included in the finding data is included in the information related to the diagnosis extracted in step S308, and if it is included, it is emphasized or the priority is raised. Can be considered. Further, when the finding data of the similar image searched in step S307 includes the same finding data received in step S403, the change may be made so as to increase the degree of similarity. Here, machine learning may be used to re-extract the diagnostic information.

Next, the finding acquisition module 114 transmits the information regarding the diagnosis extracted again in step S504 to the terminal 200 (step S505).

The terminal 200 receives information about the diagnosis from the server 100 (step S506).

The terminal 200 updates and outputs the information related to the diagnosis received in step S506 (step S507).

FIG. 7 is an example of a screen in which the diagnostic information is updated after the finding data is acquired. When the doctor inputs "degenerative cervical spondylosis" in the finding display area 605 from the state of the screen of FIG. 6, the information regarding the diagnosis is updated. Here, the word "osteoarthritis" in the text appearing in "Diagnosis:" in the reference information display area 603 in the center of the screen is underlined and highlighted. Also, the word "osteoarthritis" in the text appearing in "Findings:" in the display area 603 is underlined and highlighted. Also, for the keyword words in the reference information in the display area 604 at the bottom center of the screen, the word "osteoarthritis" is rearranged to the top and easy-to-understand position, and underlined to highlight it. ing. FIG. 7 shows an example in which the input word is emphasized and displayed in an easy-to-understand manner. However, in step S504, when the similarity is changed and the “related image related to the diagnosis” having the highest similarity is changed. May update the full display of the display area 603 and the display area 604.

Returning to FIG. 5, the terminal 200 confirms whether or not the input of the findings is completed (step S508). If the input is not completed, the process returns to step S501 to continue the flow. When the N input is completed, the process proceeds to step S509. The determination as to whether or not the input is completed may be determined by whether or not the input completion button 609 is selected in FIG. 6 or FIG. 7.

Finally, the terminal 200 notifies the server 100 of the completion of the input (step S509).

As described above, according to the present invention, the medical diagnostic system that captures an image of a patient to make a diagnosis outputs information on the diagnosis of the patient, and further relates to the diagnosis of the patient in response to input of findings from a doctor. It will be possible to provide medical diagnostic servers, medical diagnostic methods, and programs that can update and output information and provide comprehensive support to streamline the work of doctors.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. Further, the effects described in the embodiments of the present invention merely list the most suitable effects arising from the present invention, and the effects according to the present invention are limited to those described in the embodiments of the present invention. is not it.

100 servers, 200 terminals, 300 medical imaging devices, 400 communication networks

Claims (5)

In a medical diagnostic server that takes an image of a patient and makes a diagnosis
An image acquisition means for acquiring an image of the patient taken, and
Attribute including gender and age of the patient, pre-confirmation data acquisition means to acquire pre-confirmation data including at least information on the imaged part, and
Finding data that is a doctor's finding on the image, or finding data acquisition means for acquiring a doctor's selection for the plurality of keywords.
A diagnostic output means for outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
Medical diagnostic server equipped with. Wherein each of acquiring observation data, or for each of acquiring the selected keyword, medical diagnosis server of claim 1 for updating the output information on the diagnosis of the patient again selected in real time. The medical diagnostic server according to claim 1 or 2 , wherein the diagnostic output means outputs information related to the diagnosis of the patient selected by machine learning to a predetermined terminal. In a medical diagnostic method that takes an image of a patient to make a diagnosis
The step of acquiring the image of the patient taken and
Attribute including gender and age of the patient, step to acquire prior confirmation data including at least information on the imaged part, and
A step of acquiring finding data which is a doctor's finding for the image or a doctor's selection for the plurality of keywords.
A step of outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
Medical diagnostic method. For medical diagnostic servers that take images of patients and make diagnoses,
Steps to acquire the image of the patient taken
Attribute including gender and age of the patient, step to acquire prior confirmation data including at least information on the imaged part,
A step of acquiring finding data which is a doctor's finding on the image or a doctor's selection for the plurality of keywords.
A step of outputting information regarding the diagnosis of the patient to a predetermined terminal based on the image, the prior confirmation data, the finding data, or the selected keyword.
A program to execute.

Images