AI could help 911 operators spot heart attacks and strokes faster

NCT ID NCT07247669

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at how artificial intelligence (AI) can help emergency call operators quickly identify life-threatening situations like cardiac arrest, stroke, or severe breathing problems. Researchers will analyze millions of past emergency calls to train AI models to recognize key signs. The goal is to make triage faster and more accurate, so patients get the right help sooner.

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 faster and more accurate identification of life-threatening emergencies during phone calls, potentially saving lives by reducing response times.
What could go wrong
This is an observational study using historical data, so it won't directly test a new treatment. The AI model may not work as well in real-time calls or may have errors that could misclassify emergencies.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for CARDIAC ARREST (CA) are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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

Locations

  • Centro de Emergencias Sanitarias 061

    RECRUITING

    Málaga, Málaga, 29590, Spain

More trials for these conditions

Other studies related to the condition(s) this trial covers.