Title:
SYSTEM FOR DETERMINING DEPRESSION RISK USING FUNDUS IMAGE, MACHINE LEARNING MODEL GENERATION DEVICE, DEPRESSION RISK DETERMINATION DEVICE, AND DEPRESSION RISK DETERMINATION METHOD
Document Type and Number:
WIPO Patent Application WO/2024/014175
Kind Code:
A1
Abstract:
Provided is a depression risk determining system with which it is possible to determine the risk of depression from a fundus image. The system for determining depression risk according to the present invention comprises: a machine learning model generation device that generates a trained model for determining the risk of depression; and a depression risk determination device that determines the risk of depression by using the trained model generated by the machine learning model generation device. The machine learning model generation device includes a data acquisition unit that acquires at least inquiry data for training and a fundus image for training, and a machine learning model generation unit that generates a trained model. The depression risk determination device includes a determination data acquisition unit that acquires a fundus image used for determination, a depression risk determination unit that inputs at least the fundus image used for determination to the trained model to thereby output a prediction score indicating depression risk, and a determination result output unit that outputs the determination results of depression risk on the basis of the prediction score.
Inventors:
FUKUMA YASUFUMI (JP)
MAO ZAIXING (JP)
KUROSE TAKAHIRO (JP)
SONE KOHEI (JP)
NISHIDA KOHJI (JP)
KAWASAKI RYO (JP)
MARUYAMA KAZUICHI (JP)
MATSUSHITA KENJI (JP)
HASHIDA NORIYASU (JP)
MAO ZAIXING (JP)
KUROSE TAKAHIRO (JP)
SONE KOHEI (JP)
NISHIDA KOHJI (JP)
KAWASAKI RYO (JP)
MARUYAMA KAZUICHI (JP)
MATSUSHITA KENJI (JP)
HASHIDA NORIYASU (JP)
Application Number:
PCT/JP2023/020636
Publication Date:
January 18, 2024
Filing Date:
June 02, 2023
Export Citation:
Assignee:
SAI CORP (JP)
ROHTO PHARMA (JP)
UNIV OSAKA (JP)
ROHTO PHARMA (JP)
UNIV OSAKA (JP)
International Classes:
G16H50/30
Foreign References:
| JP2021039748A | 2021-03-11 | |||
| JP2021184169A | 2021-12-02 | |||
| KR20210066697A | 2021-06-07 |
Other References:
KANSAI: "Calculating disease risk from fundus images: Joint research with Rohto Pharmaceutical", NIHON KEIZAI SHIMBUN, 7 September 2021 (2021-09-07), pages 1 - 2, XP093127820, Retrieved from the Internet [retrieved on 20240206]
Attorney, Agent or Firm:
ASAMURA IP P.C. (JP)
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