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

NCT ID NCT06528821

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

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