NCT06877988

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

• Status: Active Not Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 400 (estimated)
• Sponsor: Singapore Eye Research Institute · Academic / Other
• Sex: All
• Age: 50 Years
• Healthy volunteers: Accepted

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.

Conditions

• Visual Impairment

Interventions

Type	Name	Description
DEVICE	AI	Retinal photography-based deep learning algorithm for detection of disease-related visual impairment cases

Timeline

• Start date: 2024-06-27
• Primary completion: 2026-02-27
• Completion: 2026-03-31
• First posted: 2025-03-14
• Last updated: 2026-03-11

Locations

1 site across 1 country: Singapore