AI eye exam: could a computer beat your doctor at spotting diabetic blindness?

NCT ID NCT04132401

Completed Diagnosis Sponsor: Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 10, 2026 · Updated 2 times

Summary

This study tested an artificial intelligence (AI) algorithm to detect diabetic retinopathy and glaucoma from eye photos. Researchers compared the AI's accuracy to that of family doctors and retina specialists. The goal was to see if AI could be a reliable screening tool in primary care for people with diabetes.

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 algorithm
What this could lead to: If successful, this AI could help screen for diabetic eye disease more quickly and accurately in primary care, potentially preventing blindness.
What could go wrong: This is a completed study comparing AI to doctors, not a treatment trial. The AI may not perform as well in real-world settings or with different 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.

age-related macular degeneration diabetic retinopathy glaucoma macular degeneration preretinal fibrosis type 2 diabetes mellitus

As listed by the trial registrant

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

Contacts and locations

Locations

CAP Bages

Manresa, Barcelona, 08242, Spain

More trials for these conditions

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