Using AI to prevent vision loss from diabetes in underserved communities
Leveraging Artificial Intelligence to Prevent Vision Loss From Diabetes Among Socioeconomically Disadvantaged Communities
This study is testing a new AI program to see if it can help people with diabetes in underserved communities get better eye care and follow-up after screenings.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 4000 (estimated) |
| Ages | 22 Years and up |
| Sex | All |
| Sponsor | University of Wisconsin, Madison Academic / other |
| Locations | 1 site (Madison, Wisconsin) |
| Trial ID | NCT06763952 on ClinicalTrials.gov |
What this trial studies
This clinical trial investigates the effectiveness of an artificial intelligence-based screening strategy called AI-BRIDGE to improve screening and follow-up care for diabetic eye disease in primary care clinics. The study employs a stepped-wedge cluster randomized design, where clinics transition from usual care to the AI-BRIDGE program in four steps. The primary objective is to compare follow-up rates for eye care among patients of different racial and ethnic backgrounds after being screened with AI-BRIDGE versus standard care. The trial aims to reduce disparities in diabetic eye disease screening and care among socioeconomically disadvantaged communities.
Who should consider this trial
Good fit: Ideal candidates include adults over 21 years old with type 1 or 2 diabetes, no known diabetic eye disease, and who have not had an eye exam in the past year.
Not a fit: Patients who have already been diagnosed with diabetic eye disease or those who have had an eye exam in the previous year may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve early detection and treatment of diabetic eye disease, ultimately preventing vision loss in vulnerable populations.
How similar studies have performed: Other studies have shown promise in using AI for medical screening, suggesting that this approach could be effective, though this specific application is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Eligible patients include patients older than 21 years * Diagnosed with type 1 or 2 diabetes * No known diabetic eye disease * Medicaid as their primary insurance * Not had an eye exam in the prior year Exclusion Criteria: -
Where this trial is running
Madison, Wisconsin
- UW School of Medicine and Public Health — Madison, Wisconsin, United States (Recruiting)
Study contacts
- Principal investigator: Roomasa Channa — UW School of Medicine and Public Health
- Study coordinator: Mozhdeh Bahrainian
- Email: bahrainian@wisc.edu
- Phone: 608-262-9955
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.