AI model aims to predict heart risks after hip surgery in seniors
NCT ID NCT07709377
First seen Jul 16, 2026 · Last updated Jul 17, 2026 · Updated 1 time
Summary
This study develops and tests an artificial intelligence-based tool to predict major heart complications—such as heart attack, heart failure, or dangerous heart rhythms—in adults aged 60 and older after hip fracture surgery. Researchers will analyze data from 600 patients across two hospitals, using machine learning to identify key risk factors and build a prediction model. The goal is to help doctors better identify high-risk patients and improve their care, without any experimental treatments or changes to standard medical practice.
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 practical tool that helps doctors identify elderly patients at highest risk of heart complications after hip fracture surgery, potentially reducing deaths and improving recovery.
- What could go wrong
- This is an observational study, not a treatment trial, so it won't directly test any new therapy. The prediction model may not work as well in other hospitals or patient groups, and machine learning models can sometimes be hard to interpret or apply in everyday care.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Beijing Anzhen Hospital, Capital Medical University
Beijing, Beijing Municipality, 100029, China
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China-Japan Friendship Hospital
Beijing, Beijing Municipality, 100029, China
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