AI reads your Heart's electrical signals to find hidden blockages

NCT ID NCT06528821

Ongoing Diagnosis Sponsor: Powerful Medical Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study enrolls 800 patients having heart attacks to test an artificial intelligence model that reads standard 12-lead ECGs. The AI aims to detect which artery is blocked and how severely blood flow is reduced, at the moment of a heart catheterization. If accurate, this could help doctors decide on treatment faster and more precisely.

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 (AI) model analyzing standard 12-lead electrocardiograms (ECGs)
What this could lead to: If successful, this AI could help doctors quickly identify which artery is blocked during a heart attack, leading to faster, more targeted treatment.
What could go wrong: This is an observational registry, not a treatment trial. The AI's accuracy may vary across different patient groups, and it has not yet been tested in real-time clinical decision-making.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

acute coronary syndrome acute myocardial infarction acute subendocardial myocardial infarction Coronary Occlusion coronary thrombosis intermediate 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 SYNDROME CORONARY OCCLUSION CORONARY SYNDROME NSTEMI NSTEMI - NON-ST SEGMENT ELEVATION MI STEMI

Contacts and locations

Locations

AZ Sint Jan

Bruges, Belgium
Jessa Ziekenhuis

Hasselt, Belgium
LKH Hochsteiermark, Standort Bruck

Bruck an der Mur, Austria
LKH II Standort West

Graz, 8020, Austria
Medical University of Graz

Graz, Austria
OLV Aalst

Aalst, Belgium
San Pietro Hospital

Rome, Italy
Sant´Andrea Hospital

Rome, Italy
University Hospital D'Annunzio Chieti

Chieti, Italy

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