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AI beats the clock: new platform could speed up heart attack diagnosis

NCT ID NCT06939738

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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jul 21, 2026 · Updated 3 times

Summary

This study tests an artificial intelligence platform called Willem that analyzes electrocardiograms (ECGs) to detect heart attacks. Researchers will compare how fast and accurately the AI spots heart attack patterns versus human doctors. The study involves 500 adults who have had a heart attack and will look at whether the AI can speed up diagnosis and treatment.

What this could mean

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

Active substance
Willem (AI-powered ECG analysis platform)
What this could lead to
If successful, this AI could help doctors diagnose heart attacks faster and more accurately, potentially saving lives by speeding up treatment.
What could go wrong
This is an observational study, not a treatment trial. The AI may not perform better than human experts in real-world settings, and results may not apply to all hospitals.

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

489 people

The number who actually took part.

Started

Apr 2025

Finished

Jun 2026

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

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

Who is studied

Adult patients with suspected Acute Coronary Syndrome (ACS) presenting to the emergency department and subsequently referred for angiography at the Catheterization Laboratory of the participating sites.

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; * Available digitally stored 12-lead ECG traces prior to invasive coronary angiography; * Available angiographic and clinical data. Exclusion Criteria: * ECGs with poor signal quality; * Lack of digitally stored 12-lead ECG traces prior to coronary angiography; * Previous coronary events (AMI, coronary revascularizations); * Non-available clinical or angiographic data.

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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

Locations

  • Germans Trias i Pujol University Hospital

    Barcelona, 08916, Spain

  • Hospital General Universitario Gregorio Marañón

    Madrid, 28007, Spain

  • La Paz University Hospital

    Madrid, 28046, Spain

  • Unidade Local de Saúde de Lisboa Ocidental

    Lisbon, 1449-005, Portugal

  • Unidade Local de Saúde de São José

    Lisbon, 1169-056, Portugal

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