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Artificial Intelligence (AI) - Assisted Visual Impairment Screening Model: Community-based Implementation and Evaluation of Performance, Feasibility and Costs.
Sponsor: Singapore Eye Research Institute
Summary
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.
Key Details
Gender
All
Age Range
50 Years - Any
Study Type
INTERVENTIONAL
Enrollment
400
Start Date
2024-06-27
Completion Date
2026-03-31
Last Updated
2026-03-11
Healthy Volunteers
Yes
Conditions
Interventions
AI
Retinal photography-based deep learning algorithm for detection of disease-related visual impairment cases
Locations (1)
Pioneer Polyclinic
Singapore, Singapore, Singapore