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Artificial intelligence-enabled electrocardiogram (AI-ECG) does not predict atrial fibrillation following patent foramen ovale closure

Background: Atrial fibrillation (AF) is a known complication following patent foramen ovale (PFO) closure. AI-enabled ECG (AI-ECG) acquired during normal sinus rhythm has been shown to identify individuals with AF by noting high-risk ECG features invisible to the human eye. We sought to characterize...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Omar Baqal, Eiad A. Habib, Elfatih A. Hasabo, Francesca Galasso, Timothy Barry, Reza Arsanjani, John P. Sweeney, Peter Noseworthy, F. David Fortuin
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2024-04-01
Rangatū:International Journal of Cardiology: Heart & Vasculature
Ngā marau:
Artificial intelligence
PFO closure
Atrial fibrillation
Machine learning
Electrocardiography
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S2352906724000277
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