November 01, 2025 review Open access Machine learning and deep learning predictive models for prognosis in patients with atrial fibrillation: a systematic review and meta-analysis BMJ Digital Health & AI DOI: 10.1136/bmjdhai-2025-000154 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 3 References 4 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 TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods 2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents 3,889 citations External validation of prognostic models: what, why, how, when and where? 2020 Clinical Kidney Journal article Mathematics Statistical Methods in Epidemiology Open access 880 citations There is no such thing as a validated prediction model 2023 BMC Medicine article Mathematics Statistical Methods in Epidemiology Open access 274 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 4 results