Actively Recruiting
Artificial Intelligence Based Timing, Infarct Size and Outcomes in Acute Coronary Occlusion Myocardial Infarction Without ST Elevation
Led by Azienda Ospedaliera di Bolzano · Updated on 2026-05-26
1500
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are investigating the use of artificial intelligence (AI) to improve the diagnosis and timing of treatment for patients with suspected acute coronary syndrome (ACS) who do not show ST elevation in their ECG. The study focuses on detecting acute coronary occlusion myocardial infarction (OMI) using an AI model to see if it can better identify patients needing urgent care compared to traditional methods. The goal is also to understand how the timing from diagnosis to intervention affects heart damage size and outcomes. The study observes patients diagnosed with non-ST elevation ACS who undergo coronary angiography, a procedure to open blocked arteries using a balloon and stent. The AI model analyzes ECGs to classify patients as having OMI or not, and researchers compare these results with the timing of percutaneous coronary intervention (PCI) and troponin peak levels, which reflect heart damage. This approach uses natural variations in clinical practice to explore the potential benefits of AI-guided diagnosis and timing. Participants will be monitored for up to 12 months for outcomes including cardiovascular mortality and infarct size. Data collected include ECG analyses, timing from diagnosis to PCI, and troponin levels. The study is observational and does not alter standard care; it follows patients through their usual clinical pathway while assessing the accuracy and impact of the AI model on diagnosing OMI and related outcomes.
CONDITIONS
Brief Title
Artificial Intelligence Based Timing, Infarct Size and Outcomes in Acute Coronary Occlusion Myocardial Infarction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age > 18 years
- Working diagnosis of Non-ST Elevation Acute Coronary Syndrome confirmed by a specialist
You will not qualify if you...
- ST-Elevation Myocardial Infarction
- Age < 18 years
- Major sustained ventricular arrhythmias
- Corrupted ECG images
- Poor digitalisation quality of the ECG
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Day of admission
Participants undergo an electrocardiogram (ECG) and coronary angiogram to assess coronary artery occlusion and guide timing of intervention.
1 visit (in-person)
Duration - 12 months
Participants are monitored over 12 months to assess infarct size and cardiovascular outcomes based on timing of reperfusion.
Follow-up visits as per routine care
Trial Site Locations
Total: 1 location
1
Azienda Sanitaria di Bolzano
Bolzano, BZ, Italy, 39100
Actively Recruiting
Research Team
M
Matthias Unterhuber, MD, Associate Prof.
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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