AI model aims to predict dangerous drops in body temperature during surgery
NCT ID NCT07353528
First seen Feb 02, 2026 · Last updated Jun 12, 2026 · Updated 23 times
Summary
This study will develop a machine learning model to predict which patients are at risk of hypothermia (low body temperature) during gynecological laparoscopic surgery. Researchers will collect data from 1,000 female patients before surgery to identify high-risk individuals. The goal is to help doctors take preventive steps to keep patients safe 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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Chengdu Jinjiang District Women & Children Health Hospital
Chengdu, Sichuan, 610011, China
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Medical Center Hospital of QiongLai City
Chengdu, Sichuan, 611532, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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People ' s Hospital of Dayi County
Chengdu, Sichuan, 611300, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Sichuan Jinxin Xinan Women & Children's Hospital
Chengdu, Sichuan, 610011, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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