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

Singapore Eye Research Institute

Status: Enrolling

Conditions: Visual Impairment

Treatments: Device: AI

Study type: Interventional

Funder types: Other

Identifiers

NCT06877988

2024/2297

Details and patient eligibility

About

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.

Enrollment: 400 estimated patients

Sex: All

Ages: 50+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Individuals aged 50 years old and above.

Exclusion criteria

• Individuals aged below 50 years old.

Trial design

Primary purpose: Diagnostic

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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400 participants in 2 patient groups

AI-assisted

Experimental group

Description:

Participants will undergo visual impairment screening using AVIRI model (AI for Disease-related Visual Impairment Screening Using Retinal Imaging). This intervention involves automated fundus image analysis through artificial intelligence to screen and identify individuals with high probability of visual impairment.

Treatment:

Device: AI

Traditional

No Intervention group

Description:

Participants will receive visual impairment screening using the traditional screening model, which involves optometrists performing initial assessments, followed by referral decisions based on manual fundus image evaluation.