Application effect of an artificial intelligence-based fundus screening system: evaluation in a clinical setting and population screening.

Background: To investigate the application effect of artificial intelligence (AI)-based fundus screening system in real-world clinical environment.

Methods: A total of 637 color fundus images were included in the analysis of the application of the AI-based fundus screening system in the clinical environment and 20,355 images were analyzed in the population screening.

Results: The AI-based fundus screening system demonstrated superior diagnostic effectiveness for diabetic retinopathy (DR), retinal vein occlusion (RVO) and pathological myopia (PM) according to gold standard referral.