AI listens in on 911 calls to catch strokes before It's too late
NCT ID NCT04648449
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.
Disclaimer
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This is a summary of
the original study
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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.
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.
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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Haukeland Universitetssykehus, Kirurgisk serviceklinikk, Nasjonalt kompetansesenter for helsetjenestens kommunikasjonsberedskap
Bergen, Bergen, 5021, Norway