AI model aims to prevent dangerous blood pressure drops during surgery in seniors
NCT ID NCT07618416
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is developing a machine learning model to predict the risk of low blood pressure after anesthesia in elderly patients having non-cardiac surgery. Researchers will collect data from 500 participants aged 65 and older, including heart rate variability and other health details. The goal is to create a tool that helps doctors take preventive action, potentially reducing complications.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a tool that helps doctors prevent dangerous drops in blood pressure during surgery in older patients.
What could go wrong
This is an observational study, not a treatment trial. The model may not be accurate enough for real-world use, and results may not apply to all patients.
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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.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Peking Union Medical College Hospital
RECRUITINGBeijing, China, 100730, China
Contact Phone: •••-•••-•••• Email: •••••@•••••