Cargando…
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...
Autor principal: | |
---|---|
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 |
_version_ | 1783283133569826816 |
---|---|
author | Bonderman, Diana |
author_facet | Bonderman, Diana |
author_sort | Bonderman, Diana |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5711980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bondermandiana artificialintelligenceincardiology |