Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging.

Yong Yu TanHyun Goo KangChan Joo LeeSung Soo KimSungha ParkSahil ThakurZhi Da SohYunnie ChoQingsheng PengYih-Chung ThamTyler Hyung Taek RimChing-Yu Cheng

Published in: Eye and vision (London, England) (2024)

AI-based retinal imaging hold promise in transforming primary care and systemic disease management. Together, the retina's unique features and the power of AI enable early detection, risk stratification, and help revolutionizing disease management plans. However, to fully realize the potential of AI in this domain, further research and validation in real-world settings are essential.

Keyphrases

artificial intelligence
primary care
diabetic retinopathy
optical coherence tomography
big data
machine learning
optic nerve
deep learning
risk assessment
health insurance
drug induced