AI takes on eye exams: could it speed up diabetes care?

NCT ID NCT07236879

Recruiting now Diagnosis Sponsor: Hospital de Clinicas de Porto Alegre Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study compares two ways of screening for diabetic eye disease: using artificial intelligence to read retinal photos versus having eye doctors review them. About 922 adults with diabetes will get their eyes photographed in a primary care clinic. The goal is to see if AI can make referrals and treatment happen faster without missing serious cases.

What this could mean

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

Active substance: artificial intelligence software for interpreting retinal images
What this could lead to: If successful, AI screening could make diabetic eye exams faster and more accessible in primary care, helping patients get treated sooner.
What could go wrong: This is a single-site trial with 922 participants, so results may not apply everywhere. AI might miss some cases that an eye doctor would catch.

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.

diabetic macular edema diabetic retinopathy

As listed by the trial registrant

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

DIABETIC RETINOPATHY

Contacts and locations

Locations

Hospital de Clínicas de Porto Alegre
RECRUITING

Porto Alegre, Rio Grande do Sul, 90035-903, Brazil

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