AI listens in on 911 calls to catch strokes before It's too late

NCT ID NCT04648449

Ongoing Knowledge-focused Sponsor: Haukeland University Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tests whether artificial intelligence can improve how emergency call operators recognize strokes. Researchers will analyze 1,000 emergency calls to see if AI can detect signs of stroke more accurately than current methods. The goal is to help stroke patients get to the hospital faster for treatment.

What this could mean

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

Active substance: Artificial intelligence software
What this could lead to: If successful, this could help emergency operators identify stroke calls more accurately, getting patients to the hospital faster for life-saving treatment.
What could go wrong: This is an observational study analyzing recorded calls, not a treatment trial. The AI may not perform better than human operators, and results may not apply to other regions or languages.

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.

Communication communication disorder Emergencies pituitary apoplexy stroke disorder

As listed by the trial registrant

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

APOPLEXY; BRAIN COMMUNICATION, MULTIDISCIPLINARY EMERGENCIES STROKE, ACUTE

Contacts and locations

Locations

Haukeland Universitetssykehus, Kirurgisk serviceklinikk, Nasjonalt kompetansesenter for helsetjenestens kommunikasjonsberedskap

Bergen, Bergen, 5021, Norway

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