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NPJ Digital Medicine|July 16, 2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic studyDaniel S W Ting, Carol Y Cheung, Quang Nguyen, et al.
Scientific Reports|March 28, 2020
25-years Trends and Risk factors related to Surgical Outcomes of Giant Retinal Tear-Rhegmatogenous Retinal DetachmentsDaniel S W Ting, Valencia H X Foo, Tien-En Tan, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Progress in Retinal and Eye Research|September 8, 2020
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspectiveJi-Peng Olivia Li, Hanruo Liu, Darren S J Ting, et al.
Ophthalmology|October 7, 2021
Digital Gonioscopy Based on Three-dimensional Anterior-Segment OCT: An International Multicenter StudyFei Li, Yifan Yang, Xu Sun, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
The Lancet. Digital Health|December 17, 2020
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithmsTyler Hyungtaek Rim, Geunyoung Lee, Youngnam Kim, et al.
Nature Medicine|May 18, 2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
Current Opinion in Ophthalmology|June 16, 2023
Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensusYu-Bai Chou, Aditya U Kale, Paolo Lanzetta, et al.
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