AI model aims to predict dangerous drops in body temperature during surgery
NCT ID NCT07353528
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Chengdu Jinjiang District Women & Children Health Hospital
Chengdu, Sichuan, 610011, China
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Medical Center Hospital of QiongLai City
Chengdu, Sichuan, 611532, China
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People ' s Hospital of Dayi County
Chengdu, Sichuan, 611300, China
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Sichuan Jinxin Xinan Women & Children's Hospital
Chengdu, Sichuan, 610011, China
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