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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 collec...

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Detalles Bibliográficos
Autor principal: Bonderman, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711980/
https://www.ncbi.nlm.nih.gov/pubmed/28980130
http://dx.doi.org/10.1007/s00508-017-1275-y
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author Bonderman, Diana
author_facet Bonderman, Diana
author_sort Bonderman, Diana
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description 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.
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spelling pubmed-57119802017-12-07 Artificial intelligence in cardiology Bonderman, Diana Wien Klin Wochenschr Review Article 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. Springer Vienna 2017-10-04 2017 /pmc/articles/PMC5711980/ /pubmed/28980130 http://dx.doi.org/10.1007/s00508-017-1275-y Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review Article
Bonderman, Diana
Artificial intelligence in cardiology
title Artificial intelligence in cardiology
title_full Artificial intelligence in cardiology
title_fullStr Artificial intelligence in cardiology
title_full_unstemmed Artificial intelligence in cardiology
title_short Artificial intelligence in cardiology
title_sort artificial intelligence in cardiology
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711980/
https://www.ncbi.nlm.nih.gov/pubmed/28980130
http://dx.doi.org/10.1007/s00508-017-1275-y
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