AI-assisted glaucoma screening in Singapore's diabetic eye program
Official title: A Pragmatic Randomized Controlled Trial of a New Artificial Intelligence-Assisted Clinical Model in Opportunistic Screening for Glaucoma in the Singapore Integrated Diabetic Retinopathy Program
Run by Singapore Eye Research Institute · NCT07243665 · Data updated 2026-11-12
It will test whether an AI algorithm can detect glaucoma from color fundus photos in adults with diabetes attending Singapore's diabetic eye screening program.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 21 Years and up |
| Sex | All |
| Enrollment | 1040 (estimated) |
| Sponsor | Singapore Eye Research Institute Academic / other |
| Locations | 1 site (Singapore, Singapore) |
| Status | Recruiting |
| Started | November 17, 2025 |
| Main results expected | August 2026 |
| Study ends | March 2027 |
| Registry record updated | January 29, 2026 |
| Trial ID | NCT07243665 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 21 and older with type 1 or type 2 diabetes who attend the participating SiDRP clinics in Singapore, can have retinal photos taken, and can provide informed consent are the intended participants.
✕Probably not a fit
Patients who cannot have usable retinal photographs, cannot complete the ocular examination protocols, or have contraindications as identified by their clinicians are unlikely to benefit from this screening approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This pragmatic, single-blind randomized controlled trial will recruit 1,040 adults with diabetes from two Singapore centers and randomize them 1:1 to AI-assisted fundus-photo grading or current manual grader assessment. After fundus imaging, both arms' results will be compared against a gold-standard glaucoma diagnosis determined by comprehensive ophthalmic examination including intraocular pressure, visual fields, optical coherence tomography, and dilated fundus assessment. Diagnostic accuracy, referral decisions, and downstream costs will be compared, and a cohort-based Markov model will estimate lifetime costs and cost-effectiveness. The trial is embedded within the Singapore Integrated Diabetic Retinopathy Programme to test the algorithm in a real-world screening pathway.
Why it matters
Potential benefit: If successful, the AI tool could speed up and standardize glaucoma detection in diabetic screening, enabling earlier referrals and potentially reducing vision loss.
How similar studies have gone: Retrospective and validation studies using deep learning on fundus photos have shown promise for glaucoma detection, but prospective randomized trials in routine screening programs are still limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: We aim to recruit all eligible patients who attend Singapore General Hospital (SGH) Diabetes \& Metabolism Centre's (DMC) clinics and SingHealth Polyclinics (SHP)-Bukit Merah under the Singapore Integrated Diabetic Retinopathy Programme (SiDRP). Patients are eligible for the study if 1. Aged 21 years old and above, with diabetes, including type 1 and type 2, 2. Retinal photos of the patients can be taken with the fundus camera in the clinics, regardless of photos' quality, and 3. They are willing and capable of providing a written informed consent form. Exclusion Criteria: Patients meeting any of the exclusion criteria will be excluded from participation: 1. Patients who have difficulty in having retinal photos taken or have difficulties in completing the ocular examination protocols according to investigator's decision. 2. Any other contraindication(s) as indicated by the endocrinologists responsible for the patients. \-
Where it's running
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Singapore National Eye Centre
Singapore, Singapore, Singapore Recruiting
Study contacts
- Principal investigator: Ching-Yu Cheng, MD, PhD — Singapore Eye Research Institute
- Study coordinator: Ching-Yu Cheng, MD, PhD
- Email: chingyu.cheng@duke-nus.edu.sg
- Phone: 65767277
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.