AI eye exam could save premature Babies' sight

NCT ID NCT06109285

Ongoing Diagnosis Sponsor: Siloam Vision Source: ClinicalTrials.gov ↗

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

Summary

This study tests an artificial intelligence system called i-ROP DL that analyzes images of the back of the eye. The goal is to see if it helps eye doctors more accurately diagnose retinopathy of prematurity (ROP), a condition that can cause blindness in premature infants. Researchers will compare doctors' diagnoses with and without the AI tool using about 300 eye images. If it works, this AI could make screening more reliable and accessible.

What this could mean

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

Active substance: i-ROP DL (an artificial intelligence software that analyzes eye images)
What this could lead to: If successful, this AI tool could help doctors detect severe ROP earlier and more accurately, potentially preventing blindness in premature infants.
What could go wrong: This is a small, retrospective study using existing images, not a real-world test. The AI may not perform as well in everyday hospital settings or with different equipment.

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.

retinopathy of prematurity

As listed by the trial registrant

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

RETINOPATHY OF PREMATURITY ROP

Contacts and locations

Locations

Oregon Health and Sciences University

Portland, Oregon, 97239, United States

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