Artificial Intelligence (AI) - Assisted Visual Impairment Screening Model: Community-based Implementation and Evaluation of Performance, Feasibility and Costs.

The goal of this observational study is to evaluate the performance, operational efficiency, acceptability, feasibility, and cost-effectiveness of an AI-assisted screening model for visual impairment in a community setting. The main questions it aims to answer are: * Can the AI-assisted screening model improve screening and referral accuracy compared to the current traditional screening approach? * Does the AI-assisted model enhance operational efficiency and reduce healthcare costs in a community setting? Researchers will compare the AI-assisted model with the current traditional screening approach to assess its impact on screening accuracy, operational efficiency, and cost-effectiveness. Participants will: * Undergo vision screening using either the AI-assisted model or the traditional model. * Provide feedback on the acceptability of the screening approach. * Contribute to evaluating the feasibility and costs associated with each screening method.

NCT Number	NCT06877988
Lead Sponsor	Singapore Eye Research Institute Collaborators: Institute of High Performance Computing (IHPC), A*STAR Research Institutes, National University Polyclinics, Singapore
Conditions	Visual Impairment
Enrollment	400 participants
Start Date	2024-06-27
Primary Completion	2026-02-27 (estimated)
Study Completion	2026-03-31 (estimated)
Updated on ClinicalTrials.gov	2026-03-11