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Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1968 1
1969 2
1970 1
1971 3
1972 3
1973 2
1976 2
1977 7
1978 3
1979 3
1980 4
1981 5
1982 5
1983 8
1984 5
1985 5
1986 3
1987 4
1988 5
1989 15
1990 10
1991 6
1992 6
1993 6
1994 5
1995 6
1996 7
1997 8
1998 11
1999 8
2000 14
2001 13
2002 14
2003 10
2004 14
2005 16
2006 12
2007 16
2008 17
2009 16
2010 24
2011 34
2012 32
2013 26
2014 32
2015 40
2016 42
2017 41
2018 36
2019 46
2020 31
2021 50
2022 35
2023 29
2024 16

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735 results

Results by year

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Page 1
Application of artificial intelligence to the electrocardiogram.
Attia ZI, Harmon DM, Behr ER, Friedman PA. Attia ZI, et al. Among authors: friedman pa. Eur Heart J. 2021 Dec 7;42(46):4717-4730. doi: 10.1093/eurheartj/ehab649. Eur Heart J. 2021. PMID: 34534279 Free PMC article. Review.
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: friedman pa. Mayo Clin Proc. 2020 May;95(5):1015-1039. doi: 10.1016/j.mayocp.2020.01.038. Mayo Clin Proc. 2020. PMID: 32370835 Review.
GPCR Signaling and Trafficking: The Long and Short of It.
Pavlos NJ, Friedman PA. Pavlos NJ, et al. Among authors: friedman pa. Trends Endocrinol Metab. 2017 Mar;28(3):213-226. doi: 10.1016/j.tem.2016.10.007. Epub 2016 Nov 23. Trends Endocrinol Metab. 2017. PMID: 27889227 Free PMC article. 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: friedman pa. 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.
Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial.
Noseworthy PA, Attia ZI, Behnken EM, Giblon RE, Bews KA, Liu S, Gosse TA, Linn ZD, Deng Y, Yin J, Gersh BJ, Graff-Radford J, Rabinstein AA, Siontis KC, Friedman PA, Yao X. Noseworthy PA, et al. Among authors: friedman pa. Lancet. 2022 Oct 8;400(10359):1206-1212. doi: 10.1016/S0140-6736(22)01637-3. Epub 2022 Sep 27. Lancet. 2022. PMID: 36179758 Clinical Trial.
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: friedman pa. Lancet. 2019 Sep 7;394(10201):861-867. doi: 10.1016/S0140-6736(19)31721-0. Epub 2019 Aug 1. Lancet. 2019. PMID: 31378392
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: friedman pa. 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.
735 results