Ophthalmology Generative adversarial networks in ophthalmology: what are these and how can they be used? July 29, 2021
Ophthalmology Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study. March 18, 2021
Ophthalmology Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. February 18, 2021
Ophthalmology Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms. December 17, 2020
Ophthalmology Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm. September 10, 2020
Ophthalmology Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD. August 20, 2020
Neurology | Ophthalmology Optic disc classification by deep learning versus expert neuro-ophthalmologists. July 4, 2020
Ophthalmology Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. March 28, 2020
Cardiology | Neurology | Ophthalmology Retinal Vascular Signs and Cerebrovascular Diseases. January 24, 2020
Ophthalmology Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs. September 12, 2019