Clinical trial Recruiting at 1 site Observational Ages 18 and up

AI detection of hidden coronary occlusions and timing of treatment for heart attacks

Official title: Artificial Intelligence Based Timing, Infarct Size and Outcomes in Acute Coronary Occlusion Myocardial Infarction Without ST Elevation

Run by Azienda Ospedaliera di Bolzano · NCT06910436 · Data updated 2026-11-12

This project tests whether an AI reading of 12‑lead ECGs can find hidden coronary occlusions in adults with suspected non‑ST‑elevation ACS and whether the time to PCI after that detection relates to troponin peak levels.

More Coronary Arterial Disease (CAD) trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1500 (estimated)
SponsorAzienda Ospedaliera di Bolzano
Academic / other
Locations1 site (Bolzano, BZ)
StatusRecruiting
StartedApril 1, 2024
Main results expectedJuly 31, 2026
Study endsJuly 31, 2026
Registry record updatedMay 26, 2026
Trial IDNCT06910436 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults over 18 with a working diagnosis of non‑ST‑elevation ACS who have good‑quality digital 12‑lead ECGs and are scheduled for invasive coronary angiography are the intended participants.

Probably not a fit

Patients with ST‑elevation MI, poor or corrupted ECG digitalization, major sustained ventricular arrhythmias, or those under 18 are unlikely to benefit from this AI evaluation.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a prospective observational study that applies an artificial intelligence ECG model to adults presenting with suspected non‑ST‑elevation acute coronary syndrome who undergo routine invasive coronary angiography. The AI model will be used to identify occlusion myocardial infarction (OMI) from digitized 12‑lead ECGs while usual clinical care pathways are maintained. For patients the study identifies as having OMI, investigators will record the elapsed time from diagnosis to PCI and compare peak troponin values across different timing intervals. Coronary angiogram findings and routine clinical data will be collected to link AI ECG findings with angiographic occlusion and biochemical evidence of infarction.

Why it matters

Potential benefit: If successful, the approach could help clinicians find occult coronary occlusions earlier so that timely PCI reduces infarct size and potential complications.

How similar studies have gone: Previous research has shown promising results for AI algorithms in detecting occult coronary occlusion patterns on ECGs, but few prospective observational studies have directly linked AI detection to timing of reperfusion and infarct size.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age \> 18 yrs
* Working diagnosis of Non- ST Elevation Acute Coronary Syndrome after the assessment by specialist

Exclusion Criteria:

* ST-Elevation Myocardial infarction
* Age \< 18 yrs
* Major sustained ventricular arrhythmias
* Corrupted ECG images
* Poor digitalisation quality of the ECG

Where it's running

  • Azienda Sanitaria di Bolzano
    Bolzano, Bz, Italy
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.