Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets

By sjmartinez • May 20, 2024

Vaghefi E, Squirrell D, Yang S, An S, Xie L, Durbin MK, Hou H, Marshall J, Shreibati J, McConnell MV, Budoff M. Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets. Cardiovasc Digit Health J. 2024 Jan 9;5(2):59-69. doi: 10.1016/j.cvdhj.2023.12.004. PMID: 38765618; PMCID: PMC11096659.

Tags: Artificial intelligence, Cardiology/Epi, cardiovascular disease risk, Harbor UCLA, pooled cohort equation, Publications, Retinal imaging

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