Leveraging Artificial Intelligence to Prevent Vision Loss From Diabetes

Part of paid clinical trials in Madison, Wisconsin.

Sponsor
University of Wisconsin, Madison
Study ID
NCT06763952
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

Eligibility Criteria

Sex
ALL
Age
22 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • AI — OTHER
    AI-based eye screening program

Study Details

This study aims to investigate whether a novel artificial intelligence based screening strategy (AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education or AI-BRIDGE), which allows primary care providers to screen patients for vision-threatening diabetic eye disease in the primary care clinic, improves screening and follow-up care rates across race/ethnicity groups and reduces racial/ethnic disparities in screening.

Key Dates

Start date
Aug 1, 2026
Status verified
Apr 2026
Primary completion
May 31, 2030
Completion
May 31, 2030

Study Design

Enrollment
4,000 participants (estimated)
Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • No Intervention: Usual Care Screening
    Primary care providers refer patients with diabetes to an eye care provider for a dilated eye exam. Patients are provided with culturally adapted diabetic eye disease educational materials similar to that provided to patients in the AI-BRIDGE group.
  • Experimental: AI-BRIDGE
    AI-based eye screening program called AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education (AI-BRIDGE). Eye photos of the patients will be obtained in the primary care clinic during a patient's regular primary care visit by a trained technician. Images will be reviewed using autonomous artificial-intelligence (AI) algorithm (Digital Diagnostics). Patients with referrable diabetic retinopathy are detected, and assisted with scheduling an in-person follow-up eye care visits. All patients irrespective of diabetic retinopathy status are also provided culturally adapted educational material on diabetic eye disease.

Primary Outcome Measure

Proportion of Participants Who Follow Up With Recommended Eye Care [ Time Frame: up to 6 months ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
UW School of Medicine and Public HealthMadisonWisconsin53792-

Find similar trials in Madison, WI

Related Studies