Ophthalmology Detecting visually significant cataract using retinal photograph-based deep learning. April 28, 2023
Ophthalmology Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. November 2, 2022
Ophthalmology Evaluating a Deep Learning Diabetic Retinopathy Grading System Developed on Mydriatic Retinal Images When Applied to Non-Mydriatic Community Screening. February 15, 2022
Ophthalmology Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers’ and Patients’ Perspectives. August 12, 2021
Ophthalmology Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. February 18, 2021
Ophthalmology Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study. December 17, 2020
Ophthalmology Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. March 28, 2020
Artificial Intelligence | Diabetology | Ophthalmology Artificial intelligence for diabetic retinopathy screening: a review. September 8, 2019
Ophthalmology Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application. August 5, 2019
Epidemiology | Ophthalmology Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. July 17, 2019
Ophthalmology Advances in Retinal Imaging and Applications in Diabetic Retinopathy Screening: A Review. December 17, 2018