Open AccessAcceptability of artificial intelligence-based retina screening in general population
Author(s) -
Payal Shah,
Divyansh Mishra,
Mahesh P Shanmugam,
M J Vighnesh,
Hariprasad Jayaraj
Publication year - 2022
Publication title -
indian journal of ophthalmology/indian journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.542
H-Index - 51
eISSN - 1998-3689
pISSN - 0301-4738
DOI - 10.4103/ijo.ijo_1840_21
Subject(s) - medicine , optometry , retina , population , artificial intelligence , ophthalmology , neuroscience , environmental health , computer science , biology
A deep learning system (DLS) using artificial intelligence (AI) is emerging as a very promising technology in the future of healthcare diagnostics. While the concept of telehealth is emerging in every field of medicine, AI assistance in diagnosis can become a great tool for successful screening in telemedicine and teleophthalmology. The aim of our study was to assess the acceptability of AI-based retina screening.