Artificial Intelligence-Based Disease Activity Monitoring to Personalized Neovascular Age-Related Macular Degeneration Treatment: A Feasibility Study

Authors: Zufar Mulyukov, PhD, Pearse A. Keane, FRCOphth, MD, Jayashree Sahni, FRCOphth, MD, Sandra Liakopoulos, MD, Katja Hatz, MD, Daniel Shu Wei Ting, MD, PhD, Roberto Gallego-Pinazo, MD, PhD, Tariq Aslam, PhD, DM(Oxon), Chui Ming Gemmy Cheung, FRCOphth, MD, Gabriella De Salvo, FRCOphth, MD, Oudy Semoun, MD, Gábor Márk Somfai, MD, PhD, Andreas Stahl, MD, Brandon J. Lujan, MD, Daniel Lorand, MSc

Source: Ophthalmology Science, Vol 4, Iss 6, Pp 100565- (2024)

Subject Terms: Artificial intelligence, Deep learning, Disease activity, Neovascular age-related macular degeneration, Optical coherence tomography, Ophthalmology, RE1-994

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666914524001015; https://doaj.org/toc/2666-9145

Access URL: https://doaj.org/article/891f7ebdf3bb49d0aba61b814b5cfd04