Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?

The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in radiology. AI has also been the source of great innovation and a prominent topic of discussion within radiology societies and ground-breaking research in recent years. Despite the risks and quality assu...

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Detalles Bibliográficos
Autor principal: Pakdemirli, Emre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385326/
https://www.ncbi.nlm.nih.gov/pubmed/30815280
http://dx.doi.org/10.1177/2058460119830222
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author Pakdemirli, Emre
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description The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in radiology. AI has also been the source of great innovation and a prominent topic of discussion within radiology societies and ground-breaking research in recent years. Despite the risks and quality assurance issues involved in AI, it offers tremendous opportunities for changing how radiological services are delivered. Moreover, it is conceivable that AI could become a reliable, hard-working friend to the radiologist rather than a foe, in addition to being a useful training tool for radiologist trainees.
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spelling pubmed-63853262019-02-27 Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading? Pakdemirli, Emre Acta Radiol Open Correspondence The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in radiology. AI has also been the source of great innovation and a prominent topic of discussion within radiology societies and ground-breaking research in recent years. Despite the risks and quality assurance issues involved in AI, it offers tremendous opportunities for changing how radiological services are delivered. Moreover, it is conceivable that AI could become a reliable, hard-working friend to the radiologist rather than a foe, in addition to being a useful training tool for radiologist trainees. SAGE Publications 2019-02-21 /pmc/articles/PMC6385326/ /pubmed/30815280 http://dx.doi.org/10.1177/2058460119830222 Text en © The Foundation Acta Radiologica 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Correspondence
Pakdemirli, Emre
Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title_full Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title_fullStr Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title_full_unstemmed Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title_short Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?
title_sort artificial intelligence in radiology: friend or foe? where are we now and where are we heading?
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385326/
https://www.ncbi.nlm.nih.gov/pubmed/30815280
http://dx.doi.org/10.1177/2058460119830222
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