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NCT06877988
Artificial Intelligence (AI) - Assisted Visual Impairment Screening Model: Community-based Implementation and Evaluation of Performance, Feasibility and Costs.
NA trial testing AI in Visual Impairment in 400 participants. Participants enrolled and being followed up; not accepting new ones.
27 February 2026
Quick facts
| Lead sponsor | Singapore Eye Research Institute |
|---|---|
| Phase | NA |
| Status | Active, enrolled |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | double |
| Primary purpose | diagnostic |
| Enrollment | 400 |
| Start date | 27 June 2024 |
| Primary completion | 27 February 2026 |
| Estimated completion | 31 March 2026 |
| Sites | 1 location across Singapore |
Drugs / interventions tested
- AI — full drug profile →
Conditions studied
- Visual Impairment — all drugs for Visual Impairment →
Sponsor
Singapore Eye Research Institute
Who can join
50 and older, any sex, with Visual Impairment. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial.
Chen Y, Koh KH, Ho JWC, Yew SME, et al · · 2026 · PMID 41773693 · DOI 10.2196/74164
Verify or expand the search:
- PubMed search for NCT06877988
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06877988 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Singapore Eye Research Institute
- Last refreshed: 11 March 2026
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