AI measures muscle to predict cardiac arrest recovery
NCT ID NCT07034170
First seen Jul 20, 2026 · Last updated Jul 21, 2026 · Updated 1 time
Summary
This study investigates whether muscle mass, measured automatically from CT scans using artificial intelligence, can help predict recovery in people who survive a cardiac arrest. Researchers will also test an enhanced rehabilitation program that includes muscle stimulation and guided exercise to see if it improves short- and long-term outcomes. The goal is to better understand how muscle health influences recovery after cardiac arrest.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Enhanced Rehabilitation Program (muscular electrical stimulation, guided active rehabilitation, structured physical engagement)
- What this could lead to
- If successful, this could lead to a simple way to predict recovery after cardiac arrest and a targeted rehab program to improve outcomes.
- What could go wrong
- This is a small, early-stage study. The AI tool and rehab program may not improve recovery in larger or more diverse groups.
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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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Department of Emergency Medicine, National Taiwan University Hospital
Taipei, Taipei, 100, Taiwan
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