Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases
Sign Up to like & getrecommendations! Published in 2023 at "British Journal of Ophthalmology"
DOI: 10.1136/bjo-2022-322940
Abstract: Background/aims This study evaluates the performance of the Airdoc retinal artificial intelligence system (ARAS) for detecting multiple fundus diseases in real-world scenarios in primary healthcare settings and investigates the fundus disease spectrum based on ARAS.… read more here.
Keywords: fundus diseases; healthcare settings; study; real world ... See more keywords
Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography
Sign Up to like & getrecommendations! Published in 2021 at "British Journal of Ophthalmology"
DOI: 10.1136/bjophthalmol-2020-316290
Abstract: Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested on the detection of… read more here.
Keywords: 100 100; detection; deep learning; colour fundus ... See more keywords