AI eye exam: could a computer spot diabetic retinopathy faster?

NCT ID NCT07404657

Not yet recruiting Diagnosis Sponsor: Centervue SpA Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will test a software that uses artificial intelligence to analyze photos of the retina and detect diabetic retinopathy, a common eye problem in people with diabetes. About 198 adults with diabetes will have their retinal images analyzed by the AI tool, and the results will be compared to expert human graders. The goal is to see if the AI can reliably identify cases that need referral to an eye specialist.

What this could mean

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

Active substance: AI-based software tool (iCare RETCAD) for analyzing retinal images
What this could lead to: If successful, this AI tool could provide a fast, automated way to screen for diabetic retinopathy, helping catch the disease earlier in more people.
What could go wrong: This is a small, early-stage study (198 participants) and the AI may not match expert accuracy in all cases. The tool is only for screening, not a treatment.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for DIABETIC RETINOPATHY, DR are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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, DR

More trials for these conditions

Other studies related to the condition(s) this trial covers.