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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2025-08-01
Sarja:	EBioMedicine
Aiheet:	Stroke Atrial fibrillation Prediction Machine learning Artificial intelligence Heart rate variability
Linkit:	http://www.sciencedirect.com/science/article/pii/S2352396425003135
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