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Leveraging Artificial Intelligence to Prevent Vision Loss From Diabetes

NCT06763952 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 4000

Last updated 2026-04-29

No results posted yet for this study

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.

Conditions

Interventions

OTHER

AI

AI-based eye screening program

Sponsors & Collaborators

  • National Eye Institute (NEI)

    collaborator NIH

  • University of Wisconsin, Madison

    lead OTHER

Principal Investigators

  • Roomasa Channa · UW School of Medicine and Public Health

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SEQUENTIAL

Eligibility

Min Age
22 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-01
Primary Completion
2030-05-31
Completion
2030-05-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06763952 on ClinicalTrials.gov