Multicenter National Parallel Cluster Randomized Controlled Superiority Trial Comparing an Artificial Intelligence-Based Screening Strategy to Usual Care for Improving Eye-Care Follow-Up Among Patients With Diabetes (AI-BRIDGE Trial)
University of Wisconsin, Madison
Summary
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.
Description
This is a multicenter clinical trial and University of Wisconsin is the coordinating center of the study. A stepped-wedge cluster randomized clinical trial will be conducted. The investigators will evaluate the effectiveness of two standard diabetic retinopathy screening strategies at primary care clinics; (1) AI-based eye screening program called AI-BRIDGE, eye photos of the patients will be obtained in the primary care clinic by trained clinic staff. Images will be reviewed using autonomous artificial-intelligence (AI) algorithm (Digital Diagnostics). Patients with referrable diabetic retin…
Eligibility
- Age range
- 22+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * 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:
Interventions
- OtherAI
AI-based eye screening program
Location
- UW School of Medicine and Public HealthMadison, Wisconsin