AI eye doctor: algorithm aims to predict SMILE surgery risks
NCT ID NCT06204926
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests an artificial intelligence (AI) algorithm that analyzes videos from SMILE eye surgery to predict complications like cloudy bubbles or suction loss during the procedure, as well as outcomes like vision correction and corneal thickness afterward. Researchers will enroll 1,250 people with nearsightedness to see how accurate the AI is. If it works, this tool could help surgeons make safer decisions during laser eye surgery.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI diagnostic algorithm
What this could lead to
If successful, this AI tool could help surgeons predict and avoid complications during SMILE eye surgery, leading to safer procedures and better vision outcomes.
What could go wrong
This is an early-stage diagnostic study, not a treatment. The AI may not be accurate enough in real-world settings, and results may not apply to all patients or surgeries.
Disclaimer
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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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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.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The Second Affiliated Hospital of Nanchang University
RECRUITINGNanchang, Jiangxi, 330000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••