Article

Multi-Task Deep Learning for Predicting Metabolic Syndrome from Retinal Fundus Images in a Japanese Health Checkup Dataset

2025-05-14

Abstract excerpt

<h4>Background</h4> Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS). <h4>Objective</h4> This study aimed to develop a deep learning model to predict METS from fundus images obtained during routine health checkups, leveraging a multi-task learning approach. <h4>Methods</h4> We retrospectively...

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Literature Corpus work: 4b551d17-c125-5b01-b7f7-b51a97df7ee8
DOI: 10.1101/2025.05.13.25327551

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