AI model aims to prevent dangerous blood pressure drops during surgery in seniors

NCT ID NCT07618416

Recruiting now Knowledge-focused Sponsor: Peking Union Medical College Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

POST-INDUCTION HYPOTENSION

Contacts and locations

Locations

Peking Union Medical College Hospital
RECRUITING

Beijing, China, 100730, China

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