Artificial Intelligence Based Timing, Infarct Size and Outcomes in Acute Coronary Occlusion Myocardial Infarction

Launched by AZIENDA OSPEDALIERA DI BOLZANO · Mar 28, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how artificial intelligence (AI) can help doctors identify a specific type of heart attack called "occlusive myocardial infarction" (OMI) in patients who show symptoms of acute coronary syndrome (ACS) but do not have clear signs on their ECG. The goal is to see if using AI can improve the timing of treatment for these patients, which may help reduce the size of the heart damage caused by the heart attack. The trial will also look at whether the timing of the diagnosis affects the levels of troponin, a protein that indicates heart injury, in these patients.

To be eligible for this trial, participants must be at least 18 years old and have a diagnosis of non-ST elevation acute coronary syndrome, which means they have heart-related symptoms but do not meet the criteria for a more severe heart attack called ST-elevation myocardial infarction. Unfortunately, those with certain heart conditions or poor-quality ECG images cannot participate. If you join the study, you can expect your ECG readings to be analyzed by the AI model, and your treatment will follow the usual steps that doctors take when assessing heart issues. The findings could help improve how heart attacks are diagnosed and treated in the future.

Gender

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Eligibility 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