Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

BackgroundDiabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies predominantly focus on image-based AI diagnosis, there is a pressing need for accurate risk predictio...

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Bibliographic Details
Main Authors: Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
diabetic retinopathy
deep learning model
prediction models
model comparison
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1591832/full
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