Leveraging Artificial Intelligence to Prevent Vision Loss From Diabetes

August 27, 2026 updated by: University of Wisconsin, Madison

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)

This pragmatic clinical trial is being conducted to test the effectiveness of AI-BRIDGE (Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education), in improving screening and follow-up eye care compared to usual-care among patients with diabetes across 8 primary care clinics. AI-BRIDGE is an implementation program which includes an autonomous AI-based protocol that provides screening for diabetic retinopathy (DR) disease at primary care visits, as well as patient education on disease and, if a patient screens positive for referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason, assistance with scheduling an in-person, follow-up eye-care visit.

Study Overview

Status

Not yet recruiting

Detailed Description

This study is a parallel cluster randomized clinical trial to determine whether AI-BRIDGE, an autonomous AI-based protocol of screening for DR, improves DR screening and follow-up rates compared to usual care. In this study, DR screening refers to the detection of DR either via referral of patients for an eye-care appointment with an eye-care provider in usual-care or via point-of-care AI-based DR screening for patients in AI-BRIDGE. The trial will be conducted across 8 clinics from four health systems that are Federally Qualified Health Centers. Each clinic will be randomly assigned to either usual care or the AI-BRIDGE intervention.

Randomization is done at the clinic level in this study. One of the two clinics within each of the four health systems will be randomly selected to be in the AI-BRIDGE arm (i.e., a total of four clinics will use AI-BRIDGE during the intervention period) and the other clinics will be in the control arm (i.e., a total of four clinics will be in usual care).

Primary Objective:

Compare the proportion of patients who follow-up with recommended eye care in the AI-BRIDGE and usual-care arms within 6 months of the recommendation.

Secondary Objective:

Compare the proportion of patients who complete DR screening, defined as: (AI-BRIDGE) an AI-interpretable image obtained at the primary care visit; or, for patients who did not complete AI screening or did not start AI-screening, an in-person screening eye care visit completed within 6 months of the primary care visit; (Usual-care) an in-person screening eye care visit completed within 6 months of the primary care visit.

Study Type

Interventional

Enrollment (Estimated)

6900

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Wisconsin
      • Madison, Wisconsin, United States, 53792
        • UW School of Medicine and Public Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Clinics Inclusion Criteria:

  • Clinic must be from a health system with at least two clinics that meet eligibility criteria and will agree to join.
  • Number of unique patients with diabetes should be >550 over any continuous 15-month period prior to the clinic providing a letter of support to participate in the trial.
  • No point-of-care screening system in use for DR.
  • Have an electronic health record to track patient data and agree to share limited data set as requested.
  • Have a member of the clinical team who can commit to serving as the clinic champion for this study.
  • Have the IT infrastructure to deploy an artificial-intelligence-based eye camera in the clinic.

Patient Inclusion Criteria:

  • Diagnosis of type 1 or 2 diabetes
  • No known diabetic retinopathy
  • No diabetic retinopathy screening in the past 12 months

Patient Exclusion Criteria:

  • Have a documented DR screening in the electronic health record within 12 months of the date of the primary care visit
  • Contraindication includes diagnosed with macular edema, severe non-proliferative retinopathy, proliferative retinopathy, radiation retinopathy, or retinal vein occlusion
  • Pregnant

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Sequential Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Health System 1: Usual Care plus Education
4 month period of usual care screening then randomized to a 15-month period of usual care. Participants in usual care will receive educational material about diabetic retinopathy.
Participants in the Usual Care arm will receive educational materials about diabetic retinopathy during the intervention period.
Experimental: Health System 1: AI-BRIDGE Clinic
4 month period of usual care screening then randomized to a 15-month period of AI-based eye screening program called AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education (AI-BRIDGE).
AI-BRIDGE intervention includes (1) acquisition of eye photos and autonomous (i.e. without human oversight) AI-based identification of referable or non-referable DR or insufficient image at the primary care clinic, (2) provision of patient educational material identical to that provided to the usual-care group, and (3) clinic champion-led assistance with scheduling eye-care follow-up visits for patients with referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason.
Other Names:
  • Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education
Active Comparator: Health System 2: Usual Care plus Education
4 month period of usual care screening then randomized to a 15-month period of usual care. Participants in usual care will receive educational material about diabetic retinopathy.
Participants in the Usual Care arm will receive educational materials about diabetic retinopathy during the intervention period.
Experimental: Health System 2: AI-BRIDGE Clinic
4 month period of usual care screening then randomized to a 15-month period of AI-based eye screening program called AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education (AI-BRIDGE).
AI-BRIDGE intervention includes (1) acquisition of eye photos and autonomous (i.e. without human oversight) AI-based identification of referable or non-referable DR or insufficient image at the primary care clinic, (2) provision of patient educational material identical to that provided to the usual-care group, and (3) clinic champion-led assistance with scheduling eye-care follow-up visits for patients with referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason.
Other Names:
  • Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education
Active Comparator: Health System 3: Usual Care plus Education
4 month period of usual care screening then randomized to a 15-month period of usual care. Participants in usual care will receive educational material about diabetic retinopathy.
Participants in the Usual Care arm will receive educational materials about diabetic retinopathy during the intervention period.
Experimental: Health System 3: AI-BRIDGE Clinic
4 month period of usual care screening then randomized to a 15-month period of AI-based eye screening program called AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education (AI-BRIDGE).
AI-BRIDGE intervention includes (1) acquisition of eye photos and autonomous (i.e. without human oversight) AI-based identification of referable or non-referable DR or insufficient image at the primary care clinic, (2) provision of patient educational material identical to that provided to the usual-care group, and (3) clinic champion-led assistance with scheduling eye-care follow-up visits for patients with referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason.
Other Names:
  • Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education
Active Comparator: Health System 4: Usual Care plus Education
4 month period of usual care screening then randomized to a 15-month period of usual care. Participants in usual care will receive educational material about diabetic retinopathy.
Participants in the Usual Care arm will receive educational materials about diabetic retinopathy during the intervention period.
Experimental: Health System 4: AI-BRIDGE Clinic
4 month period of usual care screening then randomized to a 15-month period of AI-based eye screening program called AI-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education (AI-BRIDGE).
AI-BRIDGE intervention includes (1) acquisition of eye photos and autonomous (i.e. without human oversight) AI-based identification of referable or non-referable DR or insufficient image at the primary care clinic, (2) provision of patient educational material identical to that provided to the usual-care group, and (3) clinic champion-led assistance with scheduling eye-care follow-up visits for patients with referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason.
Other Names:
  • Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of Participants Who Follow Up With Recommended Eye Care
Time Frame: up to 6 months
Proportion of patients who follow-up with recommended eye care in the AI-BRIDGE and usual-care arms within 6 months of the recommendation.
up to 6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of patients who complete DR screening
Time Frame: up to 6 months
Proportion of patients who complete DR screening, defined as: (AI-BRIDGE) an AI-interpretable image obtained at the primary care visit; or, for patients who did not complete AI screening or did not start AI-screening, an in-person screening eye care visit completed within 6 months of the primary care visit; (Usual-care) an in-person screening eye care visit completed within 6 months of the primary care visit.
up to 6 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Level of Diabetic Retinopathy
Time Frame: up to 6 months
The rate of diabetic retinopathy, count of unique diabetic retinopathy diagnosis divided by count of all enrolled patients, stratified by intervention, intervention and race and ethnicity groups, and intervention, race and ethnicity group, and clinic.
up to 6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Roomasa Channa, UW School of Medicine and Public Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

October 1, 2026

Primary Completion (Estimated)

May 1, 2030

Study Completion (Estimated)

May 1, 2030

Study Registration Dates

First Submitted

December 26, 2024

First Submitted That Met QC Criteria

January 7, 2025

First Posted (Actual)

January 8, 2025

Study Record Updates

Last Update Posted (Actual)

September 1, 2026

Last Update Submitted That Met QC Criteria

August 27, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The trial protocol and SAP will be publicly accessible through the Harvard Dataverse, where study protocols, analysis code, and related project documentation will be deposited and assigned DOIs.

In addition, summary protocol information, and aggregate trial data, along with related metadata, will be available on ClinicalTrials.gov in accordance with clinical trial reporting requirements.

IPD Sharing Time Frame

Data from this study may be requested from other researchers up to 7 years after the completion of the primary outcome by contacting Dr. Roomasa Channa, the PI of this study.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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