January 01, 2025 preprint Open access Artificial Intelligence Models for Stroke Risk Stratification in Atrial Fibrillation: A Systematic Review and Meta-Analysis SSRN Electronic Journal DOI: 10.2139/ssrn.5252379 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA‐AF registry phase II/III 2024 European Journal of Clinical Investigation article Medicine Atrial Fibrillation Management and Outcomes Open access 24 citations Machine learning for outcome prediction in patients with non-valvular atrial fibrillation from the GLORIA-AF registry 2024 Scientific Reports article Medicine Atrial Fibrillation Management and Outcomes Open access 14 citations Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study 2024 European Heart Journal - Digital Health article Medicine Atrial Fibrillation Management and Outcomes Open access 13 citations 3 results