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Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.
Razeghi O, Kapoor R, Alhusseini MI, Fazal M, Tang S, Roney CH, Rogers AJ, Lee A, Wang PJ, Clopton P, Rubin DL, Narayan SM, Niederer S, Baykaner T. Razeghi O, et al. J Cardiovasc Electrophysiol. 2023 May;34(5):1164-1174. doi: 10.1111/jce.15890. Epub 2023 Apr 27. J Cardiovasc Electrophysiol. 2023. PMID: 36934383 Free PMC article.
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes.
Tang S, Razeghi O, Kapoor R, Alhusseini MI, Fazal M, Rogers AJ, Rodrigo Bort M, Clopton P, Wang PJ, Rubin DL, Narayan SM, Baykaner T. Tang S, et al. Circ Arrhythm Electrophysiol. 2022 Aug;15(8):e010850. doi: 10.1161/CIRCEP.122.010850. Epub 2022 Jul 22. Circ Arrhythm Electrophysiol. 2022. PMID: 35867397 Free PMC article.
Cross-Modal Data Programming Enables Rapid Medical Machine Learning.
Dunnmon JA, Ratner AJ, Saab K, Khandwala N, Markert M, Sagreiya H, Goldman R, Lee-Messer C, Lungren MP, Rubin DL, Ré C. Dunnmon JA, et al. Patterns (N Y). 2020 May 8;1(2):100019. doi: 10.1016/j.patter.2020.100019. Epub 2020 Apr 28. Patterns (N Y). 2020. PMID: 32776018 Free PMC article.
64 results