RecruitingNCT06910436

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

Sponsor: Azienda Ospedaliera di Bolzano

Trial Details

Condition	Coronary Arterial Disease (CAD), Acute Coronary Syndrome (ACS) Undergoing Percutaneous Coronary Intervention (PCI)
Intervention	Coronary Angiogram
Status	Recruiting
Participants	1,500
Est. Completion	31 July 2026
Last Updated	26 May 2026

Primary Outcome

Cardiovascular Mortality; Infarct Size

Eligibility Criteria

Inclusion 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

Trial Sites

Countries

Italy

View Registry Entry

Related Analysis

Observational Study Evaluates AI-Enhanced ECG Analysis for Occult MI Detection in NSTE-ACS — Italian Registry Opens

Italian researchers are investigating whether AI-enhanced ECG analysis can identify occult myocardial infarction in NSTE-ACS patients, potentially improving timing of coronary intervention and reducing infarct size. The 1500-patient observational study examines correlation between AI-detected coronary occlusion patterns and clinical outcomes.

Read full article →

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