AI assistant boosts eye doctor accuracy in retinal disease diagnosis?
NCT ID NCT07318428
First seen Jan 08, 2026 · Last updated Jun 22, 2026 · Updated 27 times
Summary
This study tested whether an AI tool can help eye doctors diagnose four common retinal diseases (diabetic retinopathy, age-related macular degeneration, retinal vein occlusion, and glaucoma) more accurately and quickly. Ten doctors from five hospitals read fundus images both with and without AI assistance. The goal was to see if the AI improves diagnostic sensitivity, specificity, and reading time.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Dong-A University Hospital
Busan, 49201, South Korea
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Inje University Busan Paik Hospital
Busan, 47392, South Korea
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Kosin University Gospel Hospital
Busan, 49267, South Korea
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Pusan National University Hospital
Busan, 49241, South Korea
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Pusan National University Yangsan Hospital
Yangsan, 50612, South Korea
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
VUNO Med-Fundus AI (AI-based fundus image interpretation software)
What this could lead to
If successful, this could show that AI helps eye doctors diagnose common retinal diseases more accurately and quickly, potentially improving routine eye care.
What could go wrong
This is a small, early-stage study with only 10 readers, so results may not apply broadly. The AI only provides findings, not diagnoses, so its real-world benefit is still uncertain.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.