Acute Coronary SyndromeSTEMICoronary OcclusionCoronary SyndromeNSTEMINSTEMI - Non-ST Segment Elevation MI
Study summary
AI ECG TIMI is an investigator-initiated, international, and multicenter registry of acute coronary syndrome patients aimed to identify electrocardiographic findings detected by an AI model predicting coronary blood flow alteration. The aim of the study is to identify electrocardiographic findings detected by an automated artificial intelligence (AI) model that can predict coronary blood flow alteration as assessed by the TIMI grade flow at the very moment of the invasive coronary angiography in patients with acute coronary syndromes.
Eligibility
Sex
ALL
Min age
18 Years
Max age
85 Years
Healthy volunteers
No
Inclusion Criteria:
* Patients with acute coronary syndromes undergoing invasive coronary angiography as clinically indicated.
* Availability of a standard 12-lead ECG performed at invasive coronary angiogram before percutaneous coronary intervention (maximum within 15 min before vascular access).
* Age ≥18 years.
Exclusion Criteria:
* Individuals presenting for a non-emergent (elective) cardiac catheterization.
* Individuals presenting with chronic coronary syndrome (CCS) or stable angina symptoms.
* Individuals without symptoms suspicious for acute coronary syndromes.
* Individuals with contraindications for cardiac catheterization.
Primary outcome measure(s)
Diagnostic Accuracy of the AI-ECG TIMI AI Model — Index hospitalization (assessed up to 5 days) The primary endpoint is the AI-ECG TIMI model's ability to identify patients with actively occluded (TIMI 0-1) at the time of invasive coronary angiography using only single-standard 12-lead ECGs assessed by accuracy, sensitivity, specificity, positive, negative predictive values and F1 scores.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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