Implantable cardiac monitors: the digital future of risk prediction?
Author:
Affiliation:
1. Department of Cardiology, Medical University of Innsbruck , Anichstr. 35, 6020 Innsbruck , Austria
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/ehjdh/advance-article-pdf/doi/10.1093/ehjdh/ztae036/58199278/ztae036.pdf
Reference6 articles.
1. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management;Siontis;Nat Rev Cardiol,2021
2. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction;Attia;Lancet,2019
3. Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram;Attia;Nat Med,2019
4. Electrocardiogram screening for aortic valve stenosis using artificial intelligence;Cohen-Shelly;Eur Heart J,2021
5. Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias;Gadaleta;NPJ Digit Med,2023
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