AI eye doctor: could software catch diabetic blindness sooner?

NCT ID NCT07758582

Recruiting now Diagnosis Sponsor: Democritus University of Thrace Source: ClinicalTrials.gov ↗

First seen Aug 11, 2026 · Last updated Aug 12, 2026 · Updated 1 time

Summary

This trial evaluates an artificial intelligence system designed to automatically detect signs of diabetic retinopathy in retinal photographs. Researchers will compare the AI's performance against experienced ophthalmologists using a large set of eye images from adults with the condition. The goal is to see if the AI can accurately identify the disease and its severity, potentially offering a faster, more accessible screening tool.

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 analyzing retinal photographs
What this could lead to: If successful, this AI could help doctors detect diabetic retinopathy earlier and more accurately, potentially preventing vision loss.
What could go wrong: The AI may not be as accurate as experienced eye doctors, and its performance could vary across different image qualities or patient groups.

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 retinopathy

As listed by the trial registrant

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

DIABETIC RETINOPATHY

Contacts and locations

Locations

University Hospital of Alexandroupolis
RECRUITING

Alexandroupoli, Greece

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