Computer system, method, and program for diagnosing subject

Patent metadata

Field	Value
Publication number	US-2020065967-A1
Application number	US-201716077790-A
Country	US
Kind code	A1
Filing date	May 19, 2017
Priority date	May 19, 2017
Publication date	Feb 27, 2020
Grant date	—

Abstract

The present invention is to provide a computer system, a method, and a program for diagnosing a subject that improve the accuracy of diagnosis by combining a plurality of time-series image data more than that by a conventional single image analysis. The computer system for diagnosing a subject acquires a plurality of first subject images with time series variation of the subject, analyzes the acquired first subject images, acquires a plurality of second subject images with time series variation of another subject in the past, analyzes the acquired second subject images, checks the analysis result of the first subject images and the analysis result of the second subject images, and diagnoses the subject based on the check result.

First claim

What is claimed is:

1 . A computer system for diagnosing a subject, comprising:
a first image acquisition unit that acquires a plurality of first subject images with time series variation of the subject; a first image analysis unit that analyzes the acquired first subject images; a second image acquisition unit that acquires a plurality of second subject images with time series variation of another subject in the past; a second image analysis unit that analyzes the acquired second subject images; a check unit that checks the analysis result of the first subject images and the analysis result of the second subject images; and a diagnosis unit that diagnoses the subject based on the check result.

2 . The computer system according to claim 1 , wherein the check unit checks the feature point of the first subject images and the feature point of the second subject images.

3 . The computer system according to claim 1 , wherein the check unit checks the feature amount of the first subject images and the feature amount of the second subject images.

4 . The computer system according to claim 1 , wherein the diagnosis unit calculates the degree of similarity between the first subject images and the second subject images based on the check result and diagnoses the subject.

5 . The computer system according to claim 1 , wherein the diagnosis unit diagnoses the risk of acquiring a disease for the subject based on the check result.

6 . The computer system according to claim 1 , wherein the first image analysis unit performs machine-learning on the feature point of the second subject images and analyzes the acquired first subject images.

7 . The computer system according to claim 1 , wherein the first image analysis unit performs machine-learning on the feature amount of the second subject images and analyzes the acquired first subject images.

8 . The computer system according to claim 1 , wherein the first image analysis unit analyzes the acquired first subject images which are marked.

9 . The computer system according to claim 1 , wherein the first subject images are eye-fundus images, the first image analysis unit analyzes the acquired eye-fundus images which are marked, and the diagnosis unit diagnoses subject's glaucoma.

10 . A method for diagnosing a subject that a computer system for diagnosis a subject executes, comprising the steps of:
acquiring a plurality of first subject images with time series variation of the subject; analyzing the acquired first subject images; acquiring a plurality of second subject images with time series variation of another subject in the past; analyzing the acquired second subject images; checking the analysis result of the first subject images and the analysis result of the second subject images; and diagnosing the subject based on the check result.

11 . A program for causing a computer system for diagnosing a subject to execute the steps of:
acquiring a plurality of first subject images with time series variation of the subject; analyzing the acquired first subject images; acquiring a plurality of second subject images with time series variation of another subject in the past; analyzing the acquired second subject images; checking the analysis result of the first subject images and the analysis result of the second subject images; and diagnosing the subject based on the check result.

Assignees

• Optim Corp
• Univ Saga

Inventors

• Sugaya Shunji
• Okumura Yoshio
• Enaida Hiroshi
• Sakaguchi Mika
• SUEOKA Eizaburo

Classifications

• G16H70/60

  relating to pathologies · CPC title

• G16H50/70

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title

• G16H40/20

  for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title