A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation

A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation

Background: Automated electrocardiogram (ECG) interpretations may be erroneous, and lead to erroneous overreads, including for atrial fibrillation (AF). We compared the accuracy of the first version of a new deep neural network 12-Lead ECG algorithm (Cardiologs®) to the conventional Veritas algorith...

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Bibliographic Details
Main Authors: Stephen W. Smith, Jeremy Rapin, Jia Li, Yann Fleureau, William Fennell, Brooks M. Walsh, Arnaud Rosier, Laurent Fiorina, Christophe Gardella
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:International Journal of Cardiology: Heart & Vasculature
Online Access:http://www.sciencedirect.com/science/article/pii/S2352906719301241

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http://www.sciencedirect.com/science/article/pii/S2352906719301241

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