Implementing Artificial Intelligence to Prevent Vision Loss From Diabetes
Enrolling by invitation · Not applicable
Conditions studied: Vision Disorders, Diabetes
In brief
This pragmatic clinical trial is being conducted to test the effectiveness of AI in improving screening and follow-up eye care compared to usual-care among patients with diabetes across 4 primary care clinics. This is an autonomous AI-based screening to detect diabetic eye disease at primary care visits.
Key facts
- Study ID
- NCT07559292
- Run by
- University of Wisconsin, Madison
- People needed
- 1700
- Starts
- 2026-02-15
- Expected to finish
- 2027-02-01
- Last updated by the study team
- 2026-04-30
Who can join
Age: 22 and older. Sex: any. Healthy volunteers: accepted.
You may not qualify if…
- Have a documented eye exam in the electronic health record within 12 months of the date of the primary care visit.
- Contraindication includes diagnosed with macular edema, severe non-proliferative retinopathy, proliferative retinopathy, radiation retinopathy, or retinal vein occlusion.
- Pregnant
Where it is running
- University of Wisconsin — Madison, Wisconsin, United States
Full record on ClinicalTrials.gov
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