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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Panteleimon Pantelidis, Nikolaos Vythoulkas-Biotis, Athanasios Samaras, Panagiotis Theofilis, Raffaele De Lucia, Polychronis Dilaveris, Theodore G. Papaioannou, Evangelos Oikonomou, Gerasimos Siasos
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2026-05-01
श्रृंखला:	Biomedicines
विषय:	atrial fibrillation arrhythmias artificial intelligence deep learning machine learning predictive modeling
ऑनलाइन पहुंच:	https://www.mdpi.com/2227-9059/14/5/1058
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