Implementing Artificial Intelligence to Prevent Vision Loss From Diabetes

Part of paid clinical trials in Madison, Wisconsin.

Sponsor
University of Wisconsin, Madison
Study ID
NCT07559292
Status
Enrolling By Invitation

Conditions

  • Diabetes
  • Vision Disorders

Eligibility Criteria

Sex
ALL
Age
22 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • AI — OTHER
    AI-based eye screening program
  • Usual Practice — OTHER
    PCP recommends annual vision screening, a separate visit entirely

Study Details

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 Dates

Start date
Feb 15, 2026
Status verified
Apr 2026
Primary completion
Feb 28, 2027
Completion
Feb 28, 2027

Study Design

Enrollment
1,700 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • Active Comparator: Usual Care
    Patients with diabetes will follow the clinic's usual practice, in which the primary care provider recommends an annual screening eye exam for patients with diabetes. This requires the patient to make a separate visit to see an eye care provider. Clinic staff will provide scheduling assistance per the standard scheduling procedure for the clinic.
  • Experimental: AI Intervention
    AI intervention includes (1) acquisition of eye photos and (2) autonomous (i.e. without human oversight) AI-based identification of referrable or non-referrable eye disease at the primary care clinic.

Primary Outcome Measure

Proportion of patients who get eye screening in the AI and usual-care arms within 5 months of the recommendation [ Time Frame: up to 5 months ]

Locations (1)

FacilityCityStateZIPSite coordinators
University of WisconsinMadisonWisconsin53792-

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