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

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

Recruiting
50 years and older
All
Phase N/A

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Overview

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.

Eligibility

Inclusion Criteria:

  • Individuals aged 50 years old and above.

Exclusion Criteria:

  • Individuals aged below 50 years old.

Study details
    Visual Impairment

NCT06877988

Singapore Eye Research Institute

15 October 2025

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