AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations

AI-based ECG analysis significantly improved STEMI detection, reduced FPAs, and enhanced the recognition of nonconventional presentations. This supports integration of AI-based ECG analysis into acute chest pain pathways.

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Publication Details

Journal
JACC: Cardiovascular Interventions
Published
2025-10-28
DOI
https://doi.org/10.1016/j.jcin.2025.10.018
Citations
8
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
11.11
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AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations

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JACC: Cardiovascular Interventions
ECG Monitoring and Analysis
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article

AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations

Anthony Demolder, Timothy D. Henry, Nils P. Johnson, Stephen W. Smith, Andrej Iring, Timea Kisova, Scott W. Sharkey, Benjamin L. Cooper, Timotej Palus, Bryn E. Mumma, Jake D. Hoyne, Róbert Hatala, Robert Herman, Emanuele Barbato, Suzanne J. Baron, Marta Belmonte, H. Pendell Meyers, Adam Rafajdus, Jozef Bartunek
article en
8 citations

Abstract

AI-based ECG analysis significantly improved STEMI detection, reduced FPAs, and enhanced the recognition of nonconventional presentations. This supports integration of AI-based ECG analysis into acute chest pain pathways.

JACC: Cardiovascular InterventionsVol. 19(2)
University of Minnesota (US), Memorial Hermann (US), Beth Israel Deaconess Medical Center (US), Abbott Northwestern Hospital (US), Texas Medical Center (US), Carolinas Medical Center (US), Hennepin County Medical Center (US), National Institute of Cardiovascular Diseases (SK), Onze Lieve Vrouwziekenhuis Hospital (BE), Baim Institute for Clinical Research (US), Flanders Environment Agency (BE), Christ Hospital (US), University of California, Davis (US), Sapienza University of Rome (IT)
Openalex Percentile: Top 1%
ECG Monitoring and Analysis
11.11
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