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AI eye scans could help underserved youth with diabetes avoid vision loss

NCT ID NCT05463289

Recruiting now Diagnosis Sponsor: Johns Hopkins University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jul 02, 2026 · Updated 2 times

Summary

This study tests whether using an AI-driven retinal camera during regular diabetes checkups can increase the number of young people screened for diabetic retinopathy, a leading cause of blindness. Researchers will enroll 500 youth with type 1, type 2, or cystic fibrosis-related diabetes, focusing on underserved groups. The goal is to see if this point-of-care approach is accurate and helps close racial gaps in screening rates.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
IDx-DR autonomous AI software for diabetic retinopathy screening
What this could lead to
If successful, this could make diabetic retinopathy screening faster and more accessible for young people with diabetes, especially those in underserved communities.
What could go wrong
This is an early-stage implementation study, not a treatment trial. The AI's accuracy in youth is still being tested, and it may not work as well as in adults.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

cystic fibrosis-related diabetes diabetic retinopathy type 1 diabetes mellitus type 2 diabetes mellitus

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CYSTIC FIBROSIS RELATED DIABETES TYPE 1 DIABETES TYPE 2 DIABETES

Contacts and locations

Locations

  • Johns Hopkins Pediatric Diabetes Center

    RECRUITING

    Baltimore, Maryland, 21287, United States

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