AI could help rescuers push in the right spot during CPR

NCT ID NCT07431710

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests an AI system that reads blood pressure signals during CPR to tell rescuers if they are compressing the wrong part of the chest. In about half of cardiac arrest patients, standard chest compressions accidentally press on a valve in the heart, reducing blood flow. The AI aims to guide rescuers to adjust their hand position for better results. The trial will enroll 255 adults with out-of-hospital cardiac arrest to see if the AI can accurately detect this problem and help rescuers fix it quickly.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

AI-Enhanced Arterial Waveform Monitor (AIR-CPR App)

What this could lead to

If successful, this could lead to a simple AI tool that helps rescuers personalize CPR, potentially improving survival from cardiac arrest.

What could go wrong

This is an early-stage study focused on accuracy and feasibility, not yet on survival outcomes. The AI may not work in all patients, and adjusting compressions could delay care.

Disclaimer Read more

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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Conditions

The condition(s) this trial relates to.

cardiac arrest Out-of-Hospital Cardiac Arrest sudden cardiac arrest

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Far Eastern Memorinal Hospital

    RECRUITING

    New Taipei City, Banqiao, 220, Taiwan

    Contact Phone: •••-•••-•••• Email: •••••@•••••