Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial
This study will provide critical evidence on the clinical utility, feasibility, and cost analysis of AI-assisted VI screening. Our findings may contribute real-world evidence to inform scalable, sustainable screening strategies that enhance efficiency, accuracy, and health system outcomes.
Authors
- Jocelyn Hui Lin Goh (ORCID: https://orcid.org/0000-0002-5052-6081)
- Kai Hui Koh
- Elaine Lum (ORCID: https://orcid.org/0000-0002-0853-3018)
- Samantha Min Er Yew
- Yih Chung Tham
- Yibing Chen
- Jin Wei Clarine Ho
Institutions
- SingHealth (SG)
- National University of Singapore (SG)
- Singapore National Eye Center (SG)
- Singapore Eye Research Institute (SG)
Publication Details
- Journal
- JMIR Research Protocols
- Published
- 2025-12-24
- DOI
- https://doi.org/10.2196/74164
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00