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

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 Center (SMC) f...

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Detalles Bibliográficos
Autores principales: Lee, Yeong Chan, Cha, Jiho, Shim, Injeong, Park, Woong-Yang, Kang, Se Woong, Lim, Dong Hui, Won, Hong-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894867/
https://www.ncbi.nlm.nih.gov/pubmed/36732671
http://dx.doi.org/10.1038/s41746-023-00748-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894867/
https://www.ncbi.nlm.nih.gov/pubmed/36732671
http://dx.doi.org/10.1038/s41746-023-00748-4

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