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.

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

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Conditions

The condition(s) this trial relates to.

cardiac arrest Out-of-Hospital Cardiac Arrest

As listed by the trial registrant

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

Contacts and locations

Locations

  • Department of Emergency Medicine, National Taiwan University Hospital

    Taipei, Taipei, 100, Taiwan

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