Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis

Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis

Introduction: Electrocardiography (ECG) is a quick and easily accessible method for diagnosis and screening of cardiovascular diseases including heart failure (HF). Artificial intelligence (AI) can be used for semi-automated ECG analysis. The aim of this evaluation was to provide an overview of AI u...

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Bibliographic Details
Main Authors: Dimitri Grün, Felix Rudolph, Nils Gumpfer, Jennifer Hannig, Laura K. Elsner, Beatrice von Jeinsen, Christian W. Hamm, Andreas Rieth, Michael Guckert, Till Keller
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Digital Health
Subjects:
artificial intelligence
heart failure
diagnosis
ECG
meta-analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2020.584555/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2020.584555/full

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