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

NCT06877988 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 400

Last updated 2026-03-11

No results posted yet for this study

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

DEVICE

AI

Retinal photography-based deep learning algorithm for detection of disease-related visual impairment cases

Sponsors & Collaborators

  • Institute of High Performance Computing (IHPC), A*STAR Research Institutes

    collaborator UNKNOWN

  • National University Polyclinics, Singapore

    collaborator OTHER

  • Singapore Eye Research Institute

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-06-27
Primary Completion
2026-02-27
Completion
2026-03-31

Countries

  • Singapore

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06877988 on ClinicalTrials.gov