Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective.
PMID: 36314006 ·
Dinesh V Gunasekeran, Feihui Zheng, Gilbert Y S Lim, Crystal C Y Chong, Shihao Zhang, Wei Yan Ng, Stuart Keel, Yifan Xiang, Ki Ho Park, Sang Jun Park, Aman Chandra, Lihteh Wu, J Peter Campbel, Aaron Y Lee, Pearse A Keane, Alastair Denniston, Dennis S C Lam, Adrian T Fung, Paul R V Chan, SriniVas R Sadda, Anat Loewenstein, Andrzej Grzybowski, Kenneth C S Fong, Wei-Chi Wu, Lucas M Bachmann, Xiulan Zhang, Jason C Yam, Carol Y Cheung, Pear Pongsachareonnont, Paisan Ruamviboonsuk, Rajiv Raman, Taiji Sakamoto, Ranya Habash, Michael Girard, Dan Milea, Marcus Ang, Gavin S W Tan, Leopold Schmetterer, Ching-Yu Cheng, Ecosse Lamoureux, Haotian Lin, Peter van Wijngaarden, Tien Y Wong, Daniel S W Ting
Abstract
Many artificial intelligence (AI) studies have focused on development of AI models, novel techniques, and reporting guidelines. However, little is understood about clinicians' perspectives of AI applications in medical fields including ophthalmology, particularly in light of recent regulatory guidelines. The aim for this study was to evaluate the perspectives of ophthalmologists regarding AI in 4 major eye conditions: diabetic retinopathy (DR), glaucoma, age-related macular degeneration (AMD) an
Official Source
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