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

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

Abstract Background Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina’s unique features enable non-invasive visualization of the central nervous system and microvascular circulation, aiding early detection an...

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Bibliographic Details
Main Authors: Yong Yu Tan, Hyun Goo Kang, Chan Joo Lee, Sung Soo Kim, Sungha Park, Sahil Thakur, Zhi Da Soh, Yunnie Cho, Qingsheng Peng, Kwanghyun Lee, Yih-Chung Tham, Tyler Hyungtaek Rim, Ching-yu Cheng
Format: Article
Language:English
Published: BMC 2024-05-01
Series:Eye and Vision
Subjects:
Artificial intelligence
Deep learning
Systemic disease
Cardiovascular disease
Neurodegenerative disease
Retinal imaging
Online Access:https://doi.org/10.1186/s40662-024-00384-3

Internet

https://doi.org/10.1186/s40662-024-00384-3

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