A comprehensive artificial intelligence–enabled electrocardiogram interpretation program

A comprehensive artificial intelligence–enabled electrocardiogram interpretation program

Background: Automated computerized electrocardiogram (ECG) interpretation algorithms are designed to enhance physician ECG interpretation, minimize medical error, and expedite clinical workflow. However, the performance of current computer algorithms is notoriously inconsistent. We aimed to develop...

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Bibliographic Details
Main Authors: Anthony H. Kashou, MD, Wei-Yin Ko, MS, Zachi I. Attia, PhD, Michal S. Cohen, MS, Paul A. Friedman, MD, FHRS, Peter A. Noseworthy, MD, FHRS
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Cardiovascular Digital Health Journal
Subjects:
Artificial intelligence
Convolutional neural network
Deep learning
ECG
Electrocardiogram
Electrocardiography
Online Access:http://www.sciencedirect.com/science/article/pii/S2666693620300323

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http://www.sciencedirect.com/science/article/pii/S2666693620300323

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