Artificial intelligence for the electrocardiogram

Affiliations

¹ Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK.
² Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK. blanca@cs.ox.ac.uk.

Comment

Ana Mincholé et al. Nat Med. 2019 Jan.

. 2019 Jan;25(1):22-23.

doi: 10.1038/s41591-018-0306-1.

¹ Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK.
² Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK. blanca@cs.ox.ac.uk.

No abstract available

Comment on

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Attia ZI, Kapa S, Lopez-Jimenez F, McKie PM, Ladewig DJ, Satam G, Pellikka PA, Enriquez-Sarano M, Noseworthy PA, Munger TM, Asirvatham SJ, Scott CG, Carter RE, Friedman PA. Attia ZI, et al. Nat Med. 2019 Jan;25(1):70-74. doi: 10.1038/s41591-018-0240-2. Epub 2019 Jan 7. Nat Med. 2019. PMID: 30617318
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY. Hannun AY, et al. Nat Med. 2019 Jan;25(1):65-69. doi: 10.1038/s41591-018-0268-3. Epub 2019 Jan 7. Nat Med. 2019. PMID: 30617320 Free PMC article.

1. Bycroft, C. et al. Nature 562, 203–209 (2018). - DOI
1. Hannun, A. Y. et al. Nat. Med. https://doi.org/10.1038/s41591-018-0268-3 (2019).
1. Attia, Z. I. et al. Nat. Med. https://doi.org/10.1038/s41591-018-0240-2 (2019).
1. Lau, J. K. et al. Int. J. Cardiol. 165, 193–194 (2013). - DOI
1. Lyon, A., Mincholé, A., Martínez, J. P., Laguna, P. & Rodriguez, B. J. R. Soc. Interface 15, 20170821 (2018).