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Current Opinion in Ophthalmology|June 16, 2023
The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensusCarla Danese, Aditya U Kale, Tariq Aslam, et al.
The New England Journal of Medicine|August 31, 2016
Andexanet Alfa for Acute Major Bleeding Associated with Factor Xa InhibitorsStuart J Connolly, Truman J Milling, John W Eikelboom, et al.
Frontiers in Public Health|October 12, 2023
The promise of digital healthcare technologiesAndy Wai Kan Yeung, Ali Torkamani, Atul J Butte, et al.
Nature Biomedical Engineering|October 13, 2020
A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibreCarol Y Cheung, Dejiang Xu, Ching-Yu Cheng, et al.
The Lancet. Digital Health|April 23, 2021
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographsTyler Hyungtaek Rim, Chan Joo Lee, Yih-Chung Tham, et al.
The Lancet. Digital Health|July 30, 2021
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence studyDuoru Lin, Jianhao Xiong, Congxin Liu, et al.
Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)|January 21, 2026
Oculomics and AI: The Eye as a biomarker for health spanJoy Le Yi Wong, Haoran Cheng, Wen Jun Peh, et al.
NPJ Digital Medicine|October 12, 2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detectionFei Li, Diping Song, Han Chen, et al.
Diabetes Care|July 28, 2021
A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter AnalysisFangyao Tang, Xi Wang, An-Ran Ran, et al.
Frontiers in Medicine|October 31, 2022
Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational PerspectiveDinesh V Gunasekeran, Feihui Zheng, Gilbert Y S Lim, et al.
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