Artificial intelligence in cardiology

Artificial intelligence in cardiology Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wiener klinische Wochenschrift Springer Journals

Artificial intelligence in cardiology

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Publisher
Springer Journals
Copyright
Copyright © 2017 by The Author(s)
Subject
Medicine & Public Health; Medicine/Public Health, general; Internal Medicine; Endocrinology; Gastroenterology; Pneumology/Respiratory System
ISSN
0043-5325
eISSN
1613-7671
D.O.I.
10.1007/s00508-017-1275-y
Publisher site
See Article on Publisher Site

Abstract

Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general.

Journal

Wiener klinische WochenschriftSpringer Journals

Published: Oct 4, 2017

References

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