Ophthalmology Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. November 2, 2022
Ophthalmology Development and validation of a deep learning algorithm for the detection of neovascular age-related macular degeneration from color fundus photographs. June 19, 2019
Ophthalmology Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma. April 18, 2019
Ophthalmology An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs. February 19, 2019
Ophthalmology Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible? December 31, 2018
Endocrinology | Ophthalmology Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study. November 14, 2018
Ophthalmology Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs. July 23, 2018