AI beats the clock: new platform could speed up heart attack diagnosis
NCT ID NCT06939738
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 Hide 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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Acute myocardial infarction (AMI) are added.
Genom att skicka in godkänner du våra Användarvillkor
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
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- A temporary wire that keeps hearts beating on cue
- AI may spot deadly heart rhythms before they strike
- Antioxidant infusion may shield the heart from reperfusion injury
- Can a temporary heart pump save more lives in cardiogenic shock?
- Can a Community-Based rehab program boost heart recovery after a first attack?
- AI on a simple ECG: a new way to gauge heart attack severity?