Literature DB >> 27489186

The influence of computerized interpretation of an electrocardiogram reading.

Pedro Martínez-Losas1, Javier Higueras2, Juan Carlos Gómez-Polo2, Philip Brabyn3, Juan Manuel Fuentes Ferrer4, Victoria Cañadas2, Julián Pérez Villacastín2.   

Abstract

Mesh：

Year:  2016        PMID： 27489186     DOI： 10.1016/j.ajem.2016.07.029

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN： 0735-6757            Impact factor:   2.469


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  4 in total

1.  TBC: A simple algorithm to rule out abnormalities in electrocardiograms of patients with pacemakers.

Authors:  Javier Higueras; Carmen Olmos; Julián Palacios-Rubio; Juan Carlos Gómez-Polo; Pedro Martínez-Losas; Virginia Ruiz-Pizarro; Ramón Bover; Julián Pérez-Villacastín
Journal:  Cardiol J       Date:  2018-08-29       Impact factor: 2.737

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

Authors:  Stephen W Smith; Jeremy Rapin; Jia Li; Yann Fleureau; William Fennell; Brooks M Walsh; Arnaud Rosier; Laurent Fiorina; Christophe Gardella
Journal:  Int J Cardiol Heart Vasc       Date:  2019-09-08

3.  A comprehensive artificial intelligence-enabled electrocardiogram interpretation program.

Authors:  Anthony H Kashou; Wei-Yin Ko; Zachi I Attia; Michal S Cohen; Paul A Friedman; Peter A Noseworthy
Journal:  Cardiovasc Digit Health J       Date:  2020-09-08

4.  An artificial intelligence-enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the 'Turing test'?

Authors:  Anthony H Kashou; Siva K Mulpuru; Abhishek J Deshmukh; Wei-Yin Ko; Zachi I Attia; Rickey E Carter; Paul A Friedman; Peter A Noseworthy
Journal:  Cardiovasc Digit Health J       Date:  2021-05-05
  4 in total

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