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Eye (London, England)|June 28, 2020
An open-source data set of anti-VEGF therapy in diabetic macular oedema patients over 4 years and their visual acuity outcomesChristoph Kern, Dun Jack Fu, Josef Huemer, et al.
The British Journal of Ophthalmology|October 27, 2018
Artificial intelligence and deep learning in ophthalmologyDaniel Shu Wei Ting, Louis R Pasquale, Lily Peng, et al.
American Journal of Ophthalmology|October 18, 2015
Evaluation of Objective Vitritis Grading Method Using Optical Coherence Tomography: Influence of Phakic Status and Previous VitrectomyJavier Zarranz-Ventura, Pearse A Keane, Dawn A Sim, et al.
PLOS Digital Health|September 2, 2025
Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: A systematic reviewLekaashree Rambabu, Thomas Edmiston, Brandon G Smith, et al.
The British Journal of Ophthalmology|June 9, 2025
Mapping the impact: AI-driven quantification of geographic atrophy on OCT scans and its association with visual sensitivity lossDavid A Merle, Robyn H Guymer, Mark A Chia, et al.
Ophthalmology Science|January 6, 2025
Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus AutofluorescenceAnish Salvi, Julia Cluceru, Simon S Gao, et al.
Ophthalmology and Therapy|January 13, 2026
Tele-Ophthalmology for Retinal Health Surveillance in DenmarkMarie L R Rasmussen, Danson V Muttuvelu, Lasse J Cehofski, et al.
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