Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

Abstract Cardiovascular disease (CVD), the leading cause of death globally, is associated with complicated underlying risk factors. We develop an artificial intelligence model to identify CVD using multimodal data, including clinical risk factors and fundus photographs from the Samsung Medical Cente...

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Bibliographic Details
Main Authors: Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong-Yang Park, Se Woong Kang, Dong Hui Lim, Hong-Hee Won
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00748-4

Internet

https://doi.org/10.1038/s41746-023-00748-4

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