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KR-20260064392-A - METHOD, DEVICE AND SYSTEM FOR DETERMINING CONDITIONS OF DIABETIC PATIENTS USING LINKING BLOOD SUGAR STATUS AND BODY PART IMAGES BASED ON ARTIFICIAL INTELLIGENCE

KR20260064392AKR 20260064392 AKR20260064392 AKR 20260064392AKR-20260064392-A

Abstract

A method, device, and system for determining the condition of a diabetic patient through the linkage of blood glucose status and body part images based on artificial intelligence are disclosed. A method for determining the condition of a diabetic patient through the linkage of blood glucose status and body part images based on artificial intelligence according to at least one of the various embodiments of the present disclosure may comprise: a step of acquiring blood glucose information of a target patient; a step of classifying the acquired blood glucose information; a step of creating a first database by linking the blood glucose information of the target patient with image information of a target part; a step of analyzing changes in the target part according to the degree of disease progression based on the first database using a trained artificial intelligence model; and a step of generating and transmitting the analysis result data.

Inventors

  • 원창덕

Assignees

  • 가톨릭대학교 산학협력단

Dates

Publication Date
20260507
Application Date
20241031

Claims (20)

  1. In a method for determining the condition of a diabetic patient through the linkage of artificial intelligence-based blood glucose status and body part images, performed by a processor of a device, Step of obtaining blood glucose information of the target patient; A step of classifying the blood glucose information obtained above; A step of creating a first database by linking the target patient's blood glucose information and target area image information; A step of analyzing changes in the target area according to the degree of disease progression based on the first database above; and The above analysis result data is generated and transmitted, comprising the step of generating and transmitting the above analysis result data. method.
  2. In claim 1, The step of analyzing changes in the target area according to the degree of progression of the above disease is: A step including determining whether the above analysis result data needs to be updated, method.
  3. In claim 2, The step of determining whether the above analysis result data needs to be updated is: A step comprising generating update information based on the above analysis result data, method.
  4. In claim 3, The step of determining whether the above analysis result data needs to be updated is: A step further comprising updating the first database based on the above update information to create a second database, method.
  5. In claim 4, The step of determining whether the above analysis result data needs to be updated is: The method further comprises the step of generating and transmitting a notification signal including the fact that the first database is updated to the second database. method.
  6. In claim 3, A method further comprising a step of determining whether the image taken with respect to the above-mentioned body part image violates preset shooting standardization guidelines. method.
  7. In claim 6, The step of determining whether the captured image of the above-mentioned body part violates preset shooting standardization guidelines is: If it is determined that the image of the body part captured violates the preset shooting standardization guidelines, a first user interface is provided that specifically identifies and displays the image violating the shooting standardization guidelines among the images of the body part that have been captured. method.
  8. In claim 7, The step of determining whether the captured image of the above-mentioned body part violates preset shooting standardization guidelines is: After providing the first user interface above, a second user interface is provided that acquires a re-captured image for the specified image and displays the acquired re-captured image so that it can be identified. method.
  9. In claim 8, On the screen of the second user interface above, The screen of the first user interface above, including method.
  10. In claim 1, The image of the above body part is, including an image of the hand of the above-mentioned patient, method.
  11. In a device for determining the condition of a diabetic patient through the linkage of artificial intelligence-based blood glucose status and body part images, Memory; and It includes a processor that communicates with the above memory to exchange data, The above processor is, Acquiring and classifying blood glucose information of a target patient, creating a first database by linking the blood glucose information of the target patient with image information of the target area, analyzing changes in the target area according to the degree of disease progression based on the first database, and generating and transmitting the analysis result data. device.
  12. In claim 11, The above processor is, Analyzing changes in the target area according to the degree of progression of the above disease, and determining whether it is necessary to update the analysis result data, device.
  13. In claim 12, The above processor is, Generating update information based on the above analysis result data, device.
  14. In claim 13, The above processor is, Creating a second database by updating the first database based on the above update information, device.
  15. In claim 14, The above processor is, The first database generates and transmits a notification signal including the fact that it is updated to the second database. device.
  16. In claim 13, The above processor is, Determining whether the captured image of the above body part violates preset shooting standardization guidelines, device.
  17. In claim 16, The above processor is, If it is determined that the image of the body part captured violates the preset shooting standardization guidelines, a first user interface is provided that specifically identifies and displays the image violating the shooting standardization guidelines among the images of the body part that have been captured. device.
  18. In claim 17, The above processor is, After providing the first user interface above, a second user interface is provided that acquires a re-captured image for the specified image and displays the acquired re-captured image so that it can be identified. device.
  19. In claim 18, On the screen of the second user interface above, The screen of the first user interface above, including device.
  20. In claim 11, The image of the above body part is, including an image of the hand of the above-mentioned patient, device.

Description

Method, Device and System for Determining Conditions of Diabetic Patients Using Linking Blood Sugar Status and Body Part Images Based on Artificial Intelligence The present disclosure relates to determining a patient's condition, and in particular to a method, apparatus, and system for determining the condition of a diabetic patient using blood glucose levels and images of specific body parts based on artificial intelligence. Diabetes is a chronic disease that requires caution, as failure to control blood sugar can lead to various complications. These diabetic neuropathy and vascular diseases can result in serious problems, such as necrosis, decreased sensation, and deformity of the hands. Conventional diabetes management systems have focused on managing blood glucose levels, which has limited the ability to predict and manage the potential for complications, such as changes in the hand area, at an early stage. Therefore, there is a need to develop new methods and systems that systematically track changes in the hands of diabetic patients in conjunction with blood glucose levels, thereby enabling the prevention of complications and early diagnosis. FIG. 1 is a schematic diagram of an artificial intelligence-based medical information integrated management system according to one embodiment of the present disclosure. FIGS. 2 to 9 are drawings illustrating the integrated management of medical information provided by the system of FIG. 1. Figure 10 is a configuration block diagram of the computing device of Figure 1. FIG. 11 is a flowchart illustrating an artificial intelligence-based medical information integrated management method according to an embodiment of the present disclosure. FIG. 12 is a drawing illustrating an example of a user interface related to artificial intelligence-based medical information integrated management according to an embodiment of the present disclosure. Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and general content in the art to which this disclosure pertains or content that overlaps between embodiments is omitted. The terms 'part, module, component, block' as used in the specification may be implemented in software or hardware, and depending on the embodiments, a plurality of 'parts, modules, components, blocks' may be implemented as a single component, or a single 'part, module, component, block' may include a plurality of components. Throughout the specification, when a part is described as being "connected" to another part, this includes not only cases where they are directly connected but also cases where they are indirectly connected, and indirect connections include connections made via a wireless communication network. Furthermore, when it is stated that a part "includes" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Throughout the specification, when it is stated that a component is located "on" another component, this includes not only cases where a component is in contact with another component, but also cases where another component exists between the two components. Terms such as "first," "second," etc., are used to distinguish one component from another, and the components are not limited by the aforementioned terms. Singular expressions include plural expressions unless there is an obvious exception in the context. In each step, identification codes are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context. The operating principles and embodiments of the present disclosure will be described below with reference to the attached drawings. In this specification, the term "device according to the present disclosure" includes all various devices capable of performing computational processing and providing results to a user. For example, the device according to the present disclosure may include all of a computer, a server device, and a portable terminal, or may be in the form of any one of these. Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser. The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, a web server, etc. The above portable terminal may include, for example, all types of handheld-based wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecom