Clinical trial Recruiting at 1 site Interventional Ages 19 and up

AI-assisted retinal photo screening for adults with diabetes

Official title: Clinical Efficacy of Implementing an AI-Driven Software as a Medical Device (SaMD) for Funduscopy Analysis in Patients With Diabetes Mellitus: A Randomized Controlled Trial Protocol

Run by VUNO Inc. · NCT07378956 · Data updated 2026-11-12

This will test whether adding the VUNO Med®-Fundus AI tool to routine retinal photo screening helps adults with type 2 diabetes get more accurate referrals for diabetic retinopathy.

More Diabete Mellitus trials

Quick facts

Study typeInterventional
Ages19 Years and up
SexAll
Enrollment340 (estimated)
SponsorVUNO Inc.
Industry-sponsored
Locations1 site (Incheon, Gyeonggi-do)
StatusRecruiting
StartedApril 7, 2026
Main results expectedAugust 31, 2027
Study endsAugust 31, 2027
Registry record updatedApril 13, 2026
Trial IDNCT07378956 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are adults (19 years or older) with documented type 2 diabetes who can provide written informed consent and do not already have diagnosed diabetic retinopathy.

Probably not a fit

People with a prior diagnosis of diabetic retinopathy, type 1 diabetes, recent ocular surgery, pregnancy, or those unable to undergo fundus photography 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

The trial compares outcomes for adults with type 2 diabetes who receive fundus photography with VUNO Med®-Fundus AI assistance versus usual clinical care without AI. Participants are enrolled at Inha University Hospital and assigned to either an AI-assisted screening pathway or a control pathway, with the primary outcome being the true referral rate for diabetic retinopathy. Key exclusions include a prior diagnosis of diabetic retinopathy, ophthalmic surgery within six months, type 1 diabetes, and pregnancy. The intervention is an AI-SaMD that analyzes fundus photographs and flags images that may require ophthalmology referral.

Why it matters

Potential benefit: If effective, the AI could increase correct referrals and help detect sight-threatening diabetic retinopathy earlier in people with type 2 diabetes.

How similar studies have gone: Other AI systems for fundus photo screening have shown strong sensitivity and improved referral workflows in prior trials and regulatory approvals, although implementation results vary by clinical setting.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Adults aged 19 years or older.
* A documented diagnosis of type 2 diabetes mellitus.
* Ability to communicate adequately and provide written informed consent for participation in the study.

Exclusion Criteria:

* A prior diagnosis of diabetic retinopathy at the time of screening.
* A history of ophthalmic surgery within 6 months prior to the screening date.
* A diagnosis of type 1 diabetes mellitus.
* Pregnancy at the time of screening.
* Any condition that, in the opinion of the investigator, would make participation in the study infeasible or inappropriate.

Where it's running

  • Inha University Hospital
    Incheon, Gyeonggi-do, South Korea
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.