Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images

•Retinal fundus imaging and deep learning may be used for stratification of CVD risk. •Deep learning added predictive value compared with conventional CVD risk scoring methods. •The developed model was verified in a large cohort of 30,000 Koreans. Purpose The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted...