Ten Cheer Quek, Kengo Takahashi, Hyun Goo Kang, Sahil Thakur, Mihir Deshmukh, Rachel Marjorie Wei Wen Tseng, Helen Nguyen, Yih-Chung Tham, Tyler Hyungtaek Rim, Sung Soo Kim, Yasuo Yanagi, Gerald Liew, Ching-Yu Cheng
AIMS: Computer-aided detection systems for retinal fluid could be beneficial for disease monitoring and management by chronic age-related macular degeneration (AMD) and diabetic retinopathy (DR) patients, to assist in disease prevention via early detection before the disease progresses to a "wet AMD" pathology or diabetic macular edema (DME), requiring treatment. We propose a proof-of-concept AI-based app to help predict fluid via a "fluid score", prevent fluid progression, and provide personalized, serial monitoring, in the context of predictive, preventive, and personalized medicine (PPPM) for patients at risk of retinal fluid complications...
December 2022: EPMA Journal