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223 results

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Page 1
Artificial Intelligence in Cardiology: Present and Future.
Lopez-Jimenez F, Attia Z, Arruda-Olson AM, Carter R, Chareonthaitawee P, Jouni H, Kapa S, Lerman A, Luong C, Medina-Inojosa JR, Noseworthy PA, Pellikka PA, Redfield MM, Roger VL, Sandhu GS, Senecal C, Friedman PA. Lopez-Jimenez F, et al. Among authors: kapa s. Mayo Clin Proc. 2020 May;95(5):1015-1039. doi: 10.1016/j.mayocp.2020.01.038. Mayo Clin Proc. 2020. PMID: 32370835 Review.
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
Feeny AK, Chung MK, Madabhushi A, Attia ZI, Cikes M, Firouznia M, Friedman PA, Kalscheur MM, Kapa S, Narayan SM, Noseworthy PA, Passman RS, Perez MV, Peters NS, Piccini JP, Tarakji KG, Thomas SA, Trayanova NA, Turakhia MP, Wang PJ. Feeny AK, et al. Among authors: kapa s. Circ Arrhythm Electrophysiol. 2020 Aug;13(8):e007952. doi: 10.1161/CIRCEP.119.007952. Epub 2020 Jul 6. Circ Arrhythm Electrophysiol. 2020. PMID: 32628863 Free PMC article. Review.
2023 HRS expert consensus statement on the management of arrhythmias during pregnancy.
Joglar JA, Kapa S, Saarel EV, Dubin AM, Gorenek B, Hameed AB, Lara de Melo S, Leal MA, Mondésert B, Pacheco LD, Robinson MR, Sarkozy A, Silversides CK, Spears D, Srinivas SK, Strasburger JF, Tedrow UB, Wright JM, Zelop CM, Zentner D. Joglar JA, et al. Among authors: kapa s. Heart Rhythm. 2023 Oct;20(10):e175-e264. doi: 10.1016/j.hrthm.2023.05.017. Epub 2023 May 19. Heart Rhythm. 2023. PMID: 37211147
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Attia ZI, Noseworthy PA, Lopez-Jimenez F, Asirvatham SJ, Deshmukh AJ, Gersh BJ, Carter RE, Yao X, Rabinstein AA, Erickson BJ, Kapa S, Friedman PA. Attia ZI, et al. Among authors: kapa s. Lancet. 2019 Sep 7;394(10201):861-867. doi: 10.1016/S0140-6736(19)31721-0. Epub 2019 Aug 1. Lancet. 2019. PMID: 31378392
Postablation Atrial Arrhythmias.
Kapa S. Kapa S. Card Electrophysiol Clin. 2019 Dec;11(4):573-582. doi: 10.1016/j.ccep.2019.08.008. Card Electrophysiol Clin. 2019. PMID: 31706466 Review.
Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram.
Ko WY, Siontis KC, Attia ZI, Carter RE, Kapa S, Ommen SR, Demuth SJ, Ackerman MJ, Gersh BJ, Arruda-Olson AM, Geske JB, Asirvatham SJ, Lopez-Jimenez F, Nishimura RA, Friedman PA, Noseworthy PA. Ko WY, et al. Among authors: kapa s. J Am Coll Cardiol. 2020 Feb 25;75(7):722-733. doi: 10.1016/j.jacc.2019.12.030. J Am Coll Cardiol. 2020. PMID: 32081280 Free article.
Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs.
Attia ZI, Friedman PA, Noseworthy PA, Lopez-Jimenez F, Ladewig DJ, Satam G, Pellikka PA, Munger TM, Asirvatham SJ, Scott CG, Carter RE, Kapa S. Attia ZI, et al. Among authors: kapa s. Circ Arrhythm Electrophysiol. 2019 Sep;12(9):e007284. doi: 10.1161/CIRCEP.119.007284. Epub 2019 Aug 27. Circ Arrhythm Electrophysiol. 2019. PMID: 31450977 Free PMC article.
Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.
Yao X, Rushlow DR, Inselman JW, McCoy RG, Thacher TD, Behnken EM, Bernard ME, Rosas SL, Akfaly A, Misra A, Molling PE, Krien JS, Foss RM, Barry BA, Siontis KC, Kapa S, Pellikka PA, Lopez-Jimenez F, Attia ZI, Shah ND, Friedman PA, Noseworthy PA. Yao X, et al. Among authors: kapa s. Nat Med. 2021 May;27(5):815-819. doi: 10.1038/s41591-021-01335-4. Epub 2021 May 6. Nat Med. 2021. PMID: 33958795 Clinical Trial.
223 results