Artificial Intelligence for Prediction and Detection of Atrial Fibrillation from Sinus-Rhythm Electrocardiograms and Ambulatory Monitoring

Atrial fibrillation (AF) is a highly prevalent arrhythmia associated with stroke, heart failure and excess mortality. Yet, “silent” AF episodes remain undetected, leading to underestimation of disease burden. Additionally, paroxysms occur in an “unpredictable” way, and available clinical scores only...

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Autores principales:	Panteleimon Pantelidis, Nikolaos Vythoulkas-Biotis, Athanasios Samaras, Panagiotis Theofilis, Raffaele De Lucia, Polychronis Dilaveris, Theodore G. Papaioannou, Evangelos Oikonomou, Gerasimos Siasos
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-05-01
Colección:	Biomedicines
Materias:	atrial fibrillation arrhythmias artificial intelligence deep learning machine learning predictive modeling
Acceso en línea:	https://www.mdpi.com/2227-9059/14/5/1058
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