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Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit.
Kolk MZH, Ruipérez-Campillo S, Deb B, Bekkers EJ, Allaart CP, Rogers AJ, Van Der Lingen ACJ, Alvarez Florez L, Isgum I, De Vos BD, Clopton P, Wilde AAM, Knops RE, Narayan SM, Tjong FVY. Kolk MZH, et al. Among authors: clopton p. Europace. 2023 Aug 2;25(9):euad271. doi: 10.1093/europace/euad271. Europace. 2023. PMID: 37712675 Free PMC article.
Direct or coincidental elimination of stable rotors or focal sources may explain successful atrial fibrillation ablation: on-treatment analysis of the CONFIRM trial (Conventional ablation for AF with or without focal impulse and rotor modulation).
Narayan SM, Krummen DE, Clopton P, Shivkumar K, Miller JM. Narayan SM, et al. Among authors: clopton p. J Am Coll Cardiol. 2013 Jul 9;62(2):138-147. doi: 10.1016/j.jacc.2013.03.021. Epub 2013 Apr 3. J Am Coll Cardiol. 2013. PMID: 23563126 Free PMC article. Clinical Trial.
Clinical Implications of Ablation of Drivers for Atrial Fibrillation: A Systematic Review and Meta-Analysis.
Baykaner T, Rogers AJ, Meckler GL, Zaman J, Navara R, Rodrigo M, Alhusseini M, Kowalewski CAB, Viswanathan MN, Narayan SM, Clopton P, Wang PJ, Heidenreich PA. Baykaner T, et al. Among authors: clopton p. Circ Arrhythm Electrophysiol. 2018 May;11(5):e006119. doi: 10.1161/CIRCEP.117.006119. Circ Arrhythm Electrophysiol. 2018. PMID: 29743170 Free PMC article.
Online webinar training to analyse complex atrial fibrillation maps: A randomized trial.
Mesquita J, Maniar N, Baykaner T, Rogers AJ, Swerdlow M, Alhusseini MI, Shenasa F, Brizido C, Matos D, Freitas P, Santos AR, Rodrigues G, Silva C, Rodrigo M, Dong Y, Clopton P, Ferreira AM, Narayan SM. Mesquita J, et al. Among authors: clopton p. PLoS One. 2019 Jul 3;14(7):e0217988. doi: 10.1371/journal.pone.0217988. eCollection 2019. PLoS One. 2019. PMID: 31269029 Free PMC article. Clinical Trial.
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.
Alhusseini MI, Abuzaid F, Rogers AJ, Zaman JAB, Baykaner T, Clopton P, Bailis P, Zaharia M, Wang PJ, Rappel WJ, Narayan SM. Alhusseini MI, et al. Among authors: clopton p. Circ Arrhythm Electrophysiol. 2020 Aug;13(8):e008160. doi: 10.1161/CIRCEP.119.008160. Epub 2020 Jul 6. Circ Arrhythm Electrophysiol. 2020. PMID: 32631100 Free PMC article.
Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.
Rogers AJ, Selvalingam A, Alhusseini MI, Krummen DE, Corrado C, Abuzaid F, Baykaner T, Meyer C, Clopton P, Giles W, Bailis P, Niederer S, Wang PJ, Rappel WJ, Zaharia M, Narayan SM. Rogers AJ, et al. Among authors: clopton p. Circ Res. 2021 Jan 22;128(2):172-184. doi: 10.1161/CIRCRESAHA.120.317345. Epub 2020 Nov 10. Circ Res. 2021. PMID: 33167779 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. Among authors: clopton p. 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.
194 results