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Can AI spot a blocked heart artery on an ECG before doctors do?

NCT ID NCT07882849

Diagnosis Sponsor: University Medical Centre Maribor 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Oct 20, 2026 · Last updated Oct 21, 2026 · Updated 1 time

Summary

Chest pain sends many people to the emergency department, and the first test is often an electrocardiogram (ECG). Some dangerous heart attacks do not show the classic ECG pattern, and spotting them takes expertise that is not always available at triage. This study tests an artificial intelligence model that reads triage ECGs to flag a blocked coronary artery. Researchers will compare the model's accuracy against the actual triage decisions made by clinical teams, while all patients receive standard care and the model's output stays hidden from treating clinicians.

What this could mean

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

Active substance
an artificial intelligence model that reads 12-lead electrocardiograms
What this could lead to
If the model proves accurate, emergency teams could get faster, more reliable help spotting blocked coronary arteries at triage, especially when heart specialists are not on hand.
What could go wrong
The model was developed elsewhere, and diagnostic tools often lose accuracy in new hospitals and populations. This single-centre study may show the model works less well than hoped, or that it adds little beyond standard triage decisions.

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.

Expected to start

Oct 2026

An estimate. Start dates often move.

Expected to finish

Nov 2027

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 adults presenting to ED of UKC Maribor, triaged as chest pain that have ECG recorded and agree to be included into study.

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: * Age ≥18 years * Presentation to ED triage with symptoms suspicious for acute coronary syndrome, including chest discomfort, dyspnoea, epigastric pain, or other anginal equivalents * Standard 12-lead ECG recorded at triage as part of routine care, available in machine-readable or interpretable image format Exclusion Criteria: * Traumatic cause of chest pain * Ventricular arrhythmia or ongoing cardiopulmonary resuscitation at the time of the triage ECG * ECG of insufficient technical quality for analysis (recorded and reported as an exclusion count) * Patients with prehospital STEMI diagnosis transported directly to the catheterisation laboratory and bypassing ED triage * Patients for whom laboratory results are not retrievable by UKC MB * Declined participation / withdrawal of consent

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Conditions

The condition(s) this trial relates to.

acute coronary syndrome acute subendocardial myocardial infarction Chest Pain Emergencies 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 Chest pain Myocardial infarction (MI) Nstemi - non-ST segment elevation mi Occlusion 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

  • UKC Maribor

    Maribor, 2000, Slovenia

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