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AI on your phone: the future of heart attack detection in the field?

NCT ID NCT07810686

Diagnosis Sponsor: École Supérieure de Soins Ambulanciers - College of Higher Education in Prehospital Care Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 09, 2026 · Last updated Sep 10, 2026 · Updated 1 time

Summary

Paramedics and other prehospital providers often interpret ECGs under time pressure without expert backup. Missing a blocked coronary artery delays life-saving treatment, while false alarms send patients for unnecessary procedures. This trial randomizes 144 prehospital providers in French-speaking Switzerland to interpret 14 ECG vignettes with or without help from a smartphone AI model (GPT-4o). Researchers measure whether AI assistance improves correct identification of occlusion myocardial infarction.

What this could mean

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

Active substance
a smartphone large language model (GPT-4o) that reads photographed ECGs
What this could lead to
If it works, this could give paramedics a fast second opinion on ECGs, helping them spot hidden heart attacks sooner and get patients to treatment faster.
What could go wrong
The AI may misread ECGs, miss occlusions, or trigger false alarms that send patients for unnecessary procedures. The trial uses vignettes rather than real patients, so results may not reflect real-world performance.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 144 people

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

Started

Sep 2026

Expected to finish

Nov 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.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Prehospital care provider practising in French-speaking Switzerland * Any level of training: emergency medical technician, paramedic (ES), nurse (ES/HES) in prehospital emergency care, or prehospital emergency physician * Electronic informed consent signed before randomization Exclusion Criteria: * Cardiologist * Any person not practising in prehospital care * Insufficient command of written French to answer the vignettes reliably * Refusal to participate or withdrawal of consent

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Conditions

The condition(s) this trial relates to.

acute coronary syndrome myocardial infarction Non-ST Elevated Myocardial Infarction ST-elevation myocardial infarction

As listed by the trial registrant

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

Acute coronary syndromes Diagnostic errors Myocardial infarction (MI) Non-ST elevated myocardial infarction ST elevation myocardial infarction

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Caserne des pompiers de Morat (Swiss French-speaking prehospital clinical research conference)

    RECRUITING

    Murten/Morat, Canton of Fribourg, 3280, Switzerland

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