Machine Learning Outperforms CHA₂DS₂-VASc for Atrial Fibrillation Stroke Risk

MedAI Digest
MedAI Digest
Machine Learning Outperforms CHA₂DS₂-VASc for Atrial Fibrillation Stroke Risk
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Novel machine learning models predict 1-year stroke risk in newly diagnosed atrial fibrillation with dramatic improvements over the standard CHA₂DS₂-VASc score, offering clinicians better tools for personalized anticoagulation decisions.

Original paper: Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation. — NPJ digital medicine. 10.1038/s41746-026-02470-3

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