Performance of Artificial Intelligence–Powered ECG Analysis in Suspected ST-Segment Elevation Myocardial Infarction

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Authors

Scott W. Sharkey · Allina Health

Robert Herman · Onze Lieve Vrouwziekenhuis Hospital

Dawn Witt · Minneapolis Heart Institute Foundation

Frank Aguirre · St. John's Hospital

Mehmet Yildiz · Christ Hospital

David M. Larson · Minneapolis Heart Institute Foundation

Avinash Murthy

Abstract

In suspected STEMI, this AI-ECG model correctly identified nearly all patients with acute coronary obstruction and most of those without AMI. If prospectively validated, this approach could improve management of patients with suspected AMI.

Topics & Keywords

ECG Monitoring and Analysis Cardiac electrophysiology and arrhythmias Atrial Fibrillation Management and Outcomes

Publication Details

Published in: JACC Advances

Volume 5, Issue 4, pp. 102671-102671

DOI: 10.1016/j.jacadv.2026.102671

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Performance of Artificial Intelligence–Powered ECG Analysis in Suspected ST-Segment Elevation Myocardial Infarction

Authors

Abstract

Topics & Keywords

Publication Details