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.

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.

Inclusion Criteria:

• Individuals aged 50 years old and above.

Exclusion Criteria:

• Individuals aged below 50 years old.