Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores.

Joseph Keunhong YiTyler Hyung Taek Rim Chan Joo LeeSung Soo KimHyeon Chang KimChan Joo LeeHyeonmin KimGeunyoung LeeJames Soo Ghim LimYong Yu TanMarco YuYih-Chung ThamAmeet BakhaiEduard ShantsilaPaul LeesonGregory Y H LipCalvin W L ChinChing-Yu Cheng

Published in: European heart journal. Digital health (2023)

The retinal photograph biomarker (Reti-CVD) was able to identify individuals with intermediate and high-risk for CVD, in accordance with existing risk assessment tools.

Keyphrases

risk assessment
optical coherence tomography
cardiovascular disease
deep learning
diabetic retinopathy
human health
heavy metals
optic nerve
type diabetes
artificial intelligence
cardiovascular events
metabolic syndrome
convolutional neural network
coronary artery disease