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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Detalles Bibliográficos
Autores principales: Smith, Stephen W., Rapin, Jeremy, Li, Jia, Fleureau, Yann, Fennell, William, Walsh, Brooks M., Rosier, Arnaud, Fiorina, Laurent, Gardella, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737299/
https://www.ncbi.nlm.nih.gov/pubmed/31517038
http://dx.doi.org/10.1016/j.ijcha.2019.100423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737299/
https://www.ncbi.nlm.nih.gov/pubmed/31517038
http://dx.doi.org/10.1016/j.ijcha.2019.100423

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