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Peer-Reviewed Publication
J Cardiovasc Dev Dis2023;10(4)April 17, 2023Journal Article

Current and Future Use of Artificial Intelligence in Electrocardiography.

Manuel Martínez-Sellés1,2,3,4, Manuel Marina-Breysse2,5,6
1Cardiology Department, Hospital General Universitario Gregorio Marañón, Calle Doctor Esquerdo, 46, 28007 Madrid, Spain.
2Centro de Investigación Biomédica en Red-Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
3Facultad de Ciencias de la Salud, Universidad Europea, Villaviciosa de Odón, 28670 Madrid, Spain.
4Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain.
5IDOVEN Research, 28013 Madrid, Spain.
6Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, 28029 Madrid, Spain.
PubMed PMC DOI PDF

Abstract

Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in diagnosis, stratification, and management. AI algorithms can help clinicians in the following areas: (1) interpretation and detection of arrhythmias, ST-segment changes, QT prolongation, and other ECG abnormalities; (2) risk prediction integrated with or without clinical variables (to predict arrhythmias, s…

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