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Open Access

Peer-reviewed

Research Article

Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset

Tohru Itoh ,

Contributed equally to this work with: Tohru Itoh, Koichi Nishitsuka

Roles Conceptualization, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Advanced Photonics Technology Development Group, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan
⨯
Koichi Nishitsuka ,

Contributed equally to this work with: Tohru Itoh, Koichi Nishitsuka

Roles Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Writing – original draft

* E-mail: mlc12186@nifty.com

Affiliations Advanced Photonics Technology Development Group, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan, Department of Ophthalmology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan

https://orcid.org/0000-0003-2394-9561

⨯
Yasufumi Fukuma,

Roles Methodology, Project administration, Writing – original draft, Writing – review & editing

Affiliation Advanced Photonics Technology Development Group, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan
⨯
Satoshi Wada

Roles Supervision

Affiliation Advanced Photonics Technology Development Group, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan
⨯

Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset

Tohru Itoh,
Koichi Nishitsuka,
Yasufumi Fukuma,
Satoshi Wada

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Published: August 21, 2025
https://doi.org/10.1371/journal.pone.0325337

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