Electrocardiogram Interpretation Using Artificial Intelligence: Diagnosis of Cardiac and Extracardiac Pathologic Conditions. How Far Has Machine Learning Reached?-Reference-Cited by-同舟云学术

Electrocardiogram Interpretation Using Artificial Intelligence: Diagnosis of Cardiac and Extracardiac Pathologic Conditions. How Far Has Machine Learning Reached?

Published:2024-01 Issue:1 Volume:49 Page:102097
ISSN:0146-2806
Container-title:Current Problems in Cardiology
language:en
Short-container-title:Current Problems in Cardiology

Author:

Raileanu Gabriela^ORCID,de Jong Jonas S.S.G.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Reference98 articles.

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2. Informal Innovation Network Horizon Scanning Assessment Report – Artificial Intelligence,2021

3. Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology;Feeny;Circ Arrhythm Electrophysiol,2020

4. Application of artificial intelligence to the electrocardiogram;Attia;Eur Heart J,2021

5. Deep learning and the electrocardiogram: review of the current state-of-the-art;Somani;Europace,2021

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