AI-Powered ECG Detecting Culprit Vessel Blood Flow Abnormality in ACS

Artificial Intelligence-Powered Electrocardiogram Detecting Culprit Vessel Blood Flow Abnormality in Acute Coronary Syndromes

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.

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.