AI predicts infection risk after brain surgery – study aims to stop it before it starts
NCT ID NCT07378683
First seen Jan 30, 2026 · Last updated May 07, 2026 · Updated 12 times
Summary
This study tests whether a machine learning tool can accurately predict which patients are at high risk for surgical site infection after brain or spinal tumor surgery. About 500 adults scheduled for surgery will have their infection risk calculated within 72 hours after the operation. High-risk patients will receive extra preventive measures, like adjusted antibiotics and closer monitoring, while low-risk patients get standard care. The goal is to see if this personalized approach can lower infection rates and improve recovery.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
RECRUITINGBeijing, PUMC, 10010, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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