New AI-powered monitor aims to keep patients safely asleep during surgery
NCT ID NCT06317025
First seen Nov 01, 2025 · Last updated May 22, 2026 · Updated 27 times
Summary
This study combined brain wave (EEG), blood pressure, and heart rate data from 330 patients to create a smarter anesthesia monitor. The goal was to better track how deeply a patient is sedated during surgery, regardless of their age or the type of anesthesia used. The system uses machine learning to analyze these signals and help doctors avoid giving too much or too little anesthesia.
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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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Locations
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Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University
Beijing, Beijing Municipality, 100020, China
Conditions
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