Exploration and practice of the visual health management mode based on artificial intelligence-assisted diagnosis in Minhang District

[Objective] To explore and practice the visual health management mode of Minhang District. [Methods] Introduce the visual health management mode of AI-assisted diagnosis in Minhang District; analyze and compare the traditional visual health management mode and AI-assisted visual health management mode, community visual health screening projects and completion conditions, screening files, eye disease discovery, referral, actual referral and return; analyze and compare the visual health management mode, staff allocation, ophthalmic outpatient reception, and the satisfaction of visual health service. [Results] The difference in the discovery rate of major eye diseases (Diabetic Retinopathy,Glaucoma,Age-related Macular Degeneration, High Myopia) between the traditional model and artificial intelligence-assisted diagnosis mode in both communities (χ2=954.03, P<0.01), the referral rate (χ2=431.07, P<0.01). The awareness of AI-assisted diagnosis management improved in glaucoma in the two modes was statistically significant (χ2=4.24,P<0.05). Traditional model and artificial intelligence assisted diagnosis model of visual health service quality and service time is statistically significant (Z=-2.75, Z=-2.18, P<0.05). [Conclusions] The visual health screening and management mode based on AI-assisted diagnosis is worthy of the promotion and application in other communities in the region.