Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes

Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes

Abstract Background Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could...

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Bibliographic Details
Main Authors: Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Cardiovascular Diabetology
Subjects:
Artificial intelligence
Retina
Cardiovascular risk
Diabetes
Online Access:https://doi.org/10.1186/s12933-024-02564-w

Internet

https://doi.org/10.1186/s12933-024-02564-w

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