Artificial intelligence for prediction of atrial fibrillation in the stroke unit: a retrospective derivation validation cohort studyResearch in context

Summary: Background: Paroxysmal atrial fibrillation (AF) is a major cause of stroke but is often undetected in routine clinical practice. Effective stratification is needed to identify patients with stroke who might benefit the most from intensified AF screening. Several artificial intelligence mod...

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Hlavní autoři:	Maximilian Schoels, Laura Krumm, Alexander Nelde, Manuel C. Olma, Christian H. Nolte, Jan F. Scheitz, Markus G. Klammer, Christoph Leithner, Andreas Meisel, Franziska Scheibe, Michael Krämer, Karl Georg Haeusler, Matthias Endres, Christian Meisel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-08-01
Edice:	EBioMedicine
Témata:	Stroke Atrial fibrillation Prediction Machine learning Artificial intelligence Heart rate variability
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352396425003135
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