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

Status: Active_not_recruiting
Location: See all (9) locations...
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 85
Healthy Volunteers: f
View:

• 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.

Locations
Other Locations
Austria
LKH Hochsteiermark, Standort Bruck
Bruck An Der Mur
LKH II Standort West
Graz
Medical University of Graz
Graz
Belgium
OLV Aalst
Aalst
AZ Sint Jan
Bruges
Jessa Ziekenhuis
Hasselt
Italy
University Hospital D'Annunzio Chieti
Chieti
San Pietro Hospital
Rome
Sant´Andrea Hospital
Rome
Time Frame
Start Date: 2024-12-10
Completion Date: 2026-05-16
Participants
Target number of participants: 800
Sponsors
Leads: Powerful Medical

This content was sourced from clinicaltrials.gov