AI predicts infections: new study aims to slash surgical risks for brain tumor patients
NCT ID NCT07378683
First seen Jan 30, 2026 · Last updated May 09, 2026 · Updated 13 times
Summary
This study tests whether a machine learning model can accurately predict which patients are at high risk for surgical site infections after brain or spinal tumor surgery. About 500 adults scheduled for tumor removal will have their infection risk calculated within 72 hours after surgery. High-risk patients will receive extra preventive care, such as adjusted antibiotics and closer monitoring, while low-risk patients receive standard care. The goal is to see if this personalized approach can reduce infections and improve recovery.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CENTRAL NERVOUS SYSTEM TUMOR are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
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: •••••@•••••
Conditions
Explore the condition pages connected to this study.