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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:EBioMedicine
Subjects:
Stroke
Atrial fibrillation
Prediction
Machine learning
Artificial intelligence
Heart rate variability
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425003135
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