DRISTi AI screening for diabetic retinopathy
Official title: Assessment of 'DRISTi' as an Automated Diabetic Retinopathy Screening Tool in Diabetic Populations
Run by Artelus AI · NCT07222293 · Data updated 2026-11-12
This will test whether the DRISTi artificial-intelligence software can correctly detect diabetic retinopathy from retinal photos in adults with diabetes.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 21 Years and up |
| Sex | All |
| Enrollment | 900 (estimated) |
| Sponsor | Artelus AI Industry-sponsored |
| Locations | 2 sites (Oxford, North Carolina and 1 other locations) |
| Status | Recruiting |
| Started | November 23, 2025 |
| Main results expected | March 2026 |
| Study ends | March 2026 |
| Registry record updated | December 9, 2025 |
| Trial ID | NCT07222293 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 21 or older with diagnosed diabetes who can undergo fundus photography and provide informed consent are ideal candidates.
✕Probably not a fit
People with persistent visual impairment, a history of macular edema or retinal vascular occlusion, recent retinal surgery or treatments, contraindications to fundus photography or dilation, or those under 21 are unlikely to be eligible or to benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Adults with diagnosed diabetes (age ≥21) will consent to have retinal (fundus) photographs taken at one of two clinic sites. The images will be analyzed by the DRISTi AI software and independently graded by an ophthalmic reading center. Results from the AI will be compared to the reference grading and statistical analysis will determine how accurately DRISTi identifies referable diabetic retinopathy, proliferative disease, and diabetic macular edema. The study is observational and involves no treatment changes—only image capture and diagnostic comparison.
Why it matters
Potential benefit: If successful, DRISTi could enable faster and more widely available retinal screening for people with diabetes, helping detect vision‑threatening disease earlier.
How similar studies have gone: Other AI-based retinal screening systems have demonstrated good diagnostic accuracy and some have received regulatory approval, so this approach builds on prior successful work.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Ability to sign and date the informed consent form 2. Stated willingness to comply with all study procedures and availability for the duration of the study 3. Age (≥)21 years of age or older 4. Diagnosed with diabetes mellitus as per criteria established by the World Health Organization (WHO) or the American Diabetes Association (ADA) 1. Hemoglobin A1c (HbA1c) ≥ 6.5% 2. Fasting Plasma Glucose (FPG) ≥ 126 mg/dL (7.0 mmol/L) 3. Symptoms of hyperglycemia or hyperglycemic crisis with a random plasma glucose (RPG) ≥ 200 mg/dL (11.1 mmol/L) Exclusion Criteria: 1. Persistent visual impairment in one or both eyes; 2. History of macular edema or retinal vascular (vein or artery) occlusion; 3. History of ocular injections, laser treatment of the retina, or intraocular surgery other than cataract surgery without complications; 4. Subject is contraindicated for fundus photography (for example, has light sensitivity); 5. Subject has contraindications for mydriatic medications or is unwilling or unable to dilate; 6. Subject is currently enrolled in an interventional study of an investigational device or drug for the same condition; or 7. Subject has a condition or is in a situation which in the opinion of the Investigator, might confound study results, may interfere significantly with the subject's participation in the study, or may result in ungradable clinical reference standard photographs 8. Subject falls into one of the below categories: * Adults unable to consent (individuals w/ impaired decision-making capacity) * Individuals who are not yet adults (infants, children, teenagers) * Pregnant women * Prisoners
Where it's running
-
New Century Ophthalmology - Oxford
Oxford, North Carolina, United States Recruiting -
New Century Ophthalmology - Raleigh
Raleigh, North Carolina, United States Recruiting
Study contacts
- Principal investigator: Vinod Jindal, MD — New Century Ophthalmology
- Study coordinator: Jeanne Champion, Primary Site Coordinator Oxford
- Email: Jeanne@ncophth.com
- Phone: 9192347003
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Automated AI system to detect diabetic retinopathy in adults with diabetes
A AI-based software device is being tested to automatically detect diabetic retinopathy from retinal images in adults with diabetes.
-
N-acetylcysteine for diabetic retinopathy in adults with type 2 diabetes
This study tests whether taking N-acetylcysteine for three months can help people with type 2 diabetes who have mild to moderate diabetic retinopathy.
-
Early imaging changes with faricimab versus biosimilar ranibizumab for diabetic retinal disease
This trial will see if faricimab or a biosimilar ranibizumab causes different early OCT and OCTA imaging changes in adults with diabetic retinopathy or diabetic macular edema who need anti-VEGF injections.
-
Finding protein biomarkers for AMD, diabetic retinopathy, and retinal detachment
This project will test whether proteins found in blood and eye fluids can help diagnose or predict outcomes for adults with AMD, diabetic retinopathy, or retinal detachment.
-
Diabetic retinopathy prevalence and risk factors at a Da Nang hospital
We will find how common different stages of diabetic retinopathy are and which clinical or lab factors are linked to it among adults with diabetes treated at a Da Nang hospital.
-
AI-assisted retinal photo screening for adults with diabetes
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.
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.