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Implementing Artificial Intelligence to Prevent Vision Loss From Diabetes

NCT07559292 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1700

Last updated 2026-04-30

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

AI

AI-based eye screening program

OTHER

Usual Practice

PCP recommends annual vision screening, a separate visit entirely

Sponsors & Collaborators

  • University of Wisconsin, Madison

    lead OTHER

Principal Investigators

  • Roomsa Channa, MD · University of Wisconsin, Madison

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
22 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-02-15
Primary Completion
2027-02-28
Completion
2027-02-28

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 NCT07559292 on ClinicalTrials.gov