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

NCT ID NCT04648449

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 1,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Sep 2020

Expected to finish

Aug 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

All calls to 113 in Bergen will be subject to the AI. A warning will be given the EMCC-operator if risk of stroke, when combining contents in the call and historical data in the hospital record, exceeds a certain limit.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * All callers to medical emergency number 113 in Bergen Exclusion Criteria: * Age \<18

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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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