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

Powerful Medical

Status: Invitation-only

Conditions: NSTEMI - Non-ST Segment Elevation MI; Coronary Syndrome; Acute Coronary Syndrome; NSTEMI; STEMI; Coronary Occlusion

Study type: Observational

Funder types: Other

Identifiers

NCT06528821

AI-ECG-TIMI_v1

Details and patient eligibility

About

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.

Enrollment: 800 estimated patients

Sex: All

Ages: 18 to 85 years old

Volunteers: No Healthy Volunteers

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.