Exploration and practice of the visual health management mode based on artificial intelligence-assisted diagnosis in Minhang District
Journal Title: Eye Science (Yanke Xuebao) - Year 2025, Vol 40, Issue 3
Abstract
[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.
Authors and Affiliations
Yeqian XU, Yi HUANG, Yuanting ZHANG, Xue YI, Biyun MENG, Weijie WANG, Jun LI, Chenchen BI
Keywords
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- EP ID EP767351
- DOI 10.12419/24093009
- Views 15
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