Ophthalmology Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians. February 6, 2023
Artificial Intelligence | Medical Imaging | Ophthalmology SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease. January 23, 2023
Ophthalmology Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. November 2, 2022
Ophthalmology Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification. September 26, 2022
Ophthalmology AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline. July 14, 2022
Epidemiology | Ophthalmology AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK. March 17, 2022
Ophthalmology From data to deployment: the Collaborative Communities on Ophthalmic Imaging roadmap for artificial intelligence in age-related macular degeneration. January 12, 2022
Ophthalmology Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation study. January 9, 2022
Ophthalmology Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study. September 12, 2021
Ophthalmology Generative adversarial networks in ophthalmology: what are these and how can they be used? July 29, 2021
Ophthalmology Predicting sex from retinal fundus photographs using automated deep learning. May 14, 2021
Ophthalmology Predicting incremental and future visual change in neovascular age-related macular degeneration using deep learning. January 31, 2021