Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study

Summary: Background: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are diagnoses that typically require specialist asse...

Full description

Bibliographic Details
Main Authors: Tien-En Tan, FRCOphth, Ayesha Anees, MSc, Cheng Chen, MSc, Shaohua Li, PhD, Xinxing Xu, PhD, Zengxiang Li, PhD, Zhe Xiao, PhD, Yechao Yang, BSc, Xiaofeng Lei, MSc, Marcus Ang, FRCS (Ed), Audrey Chia, FRANZCO, Shu Yen Lee, FRCS (Ed), Edmund Yick Mun Wong, FRCS (Ed), Ian Yew San Yeo, ProfFRCS (Ed), Yee Ling Wong, PhD, Quan V Hoang, MD, Ya Xing Wang, MD, Mukharram M Bikbov, MD, Vinay Nangia, MD, Jost B Jonas, ProfMD, Yen-Po Chen, MD, Wei-Chi Wu, ProfMD, Kyoko Ohno-Matsui, ProfMD, Tyler Hyungtaek Rim, MD, Yih-Chung Tham, PhD, Rick Siow Mong Goh, PhD, Haotian Lin, ProfMD, Hanruo Liu, MD, Ningli Wang, ProfMD, Weihong Yu, ProfMD, Donald Tiang Hwee Tan, ProfFRCS (Ed), Leopold Schmetterer, ProfPhD, Ching-Yu Cheng, ProfMD, Youxin Chen, ProfMD, Chee Wai Wong, MBBS, Gemmy Chui Ming Cheung, ProfFRCOphth, Seang-Mei Saw, ProfPhD, Tien Yin Wong, ProfMD, Yong Liu, PhD, Daniel Shu Wei Ting, MD
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750021000558