The impact of artificial intelligence on the current and future practice of clinical cancer genomics

Artificial intelligence (AI) is one of the most significant fields of development in the current digital age. Rapid advancements have raised speculation as to its potential benefits in a wide range of fields, with healthcare often at the forefront. However, amidst this optimism, apprehension and opp...

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Detalles Bibliográficos
Autores principales: Greatbatch, Olivia, Garrett, Alice, Snape, Katie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044964/
https://www.ncbi.nlm.nih.gov/pubmed/31668155
http://dx.doi.org/10.1017/S0016672319000089
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author Greatbatch, Olivia
Garrett, Alice
Snape, Katie
author_facet Greatbatch, Olivia
Garrett, Alice
Snape, Katie
author_sort Greatbatch, Olivia
collection PubMed
description Artificial intelligence (AI) is one of the most significant fields of development in the current digital age. Rapid advancements have raised speculation as to its potential benefits in a wide range of fields, with healthcare often at the forefront. However, amidst this optimism, apprehension and opposition continue to strongly persist. Oft-cited concerns include the threat of unemployment, harm to the doctor–patient relationship and questions of safety and accuracy. In this article, we review both the current and future medical applications of AI within the sub-speciality of cancer genomics.
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spelling pubmed-70449642020-03-09 The impact of artificial intelligence on the current and future practice of clinical cancer genomics Greatbatch, Olivia Garrett, Alice Snape, Katie Genet Res (Camb) Review Artificial intelligence (AI) is one of the most significant fields of development in the current digital age. Rapid advancements have raised speculation as to its potential benefits in a wide range of fields, with healthcare often at the forefront. However, amidst this optimism, apprehension and opposition continue to strongly persist. Oft-cited concerns include the threat of unemployment, harm to the doctor–patient relationship and questions of safety and accuracy. In this article, we review both the current and future medical applications of AI within the sub-speciality of cancer genomics. Cambridge University Press 2019-10-31 /pmc/articles/PMC7044964/ /pubmed/31668155 http://dx.doi.org/10.1017/S0016672319000089 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Greatbatch, Olivia
Garrett, Alice
Snape, Katie
The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title_full The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title_fullStr The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title_full_unstemmed The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title_short The impact of artificial intelligence on the current and future practice of clinical cancer genomics
title_sort impact of artificial intelligence on the current and future practice of clinical cancer genomics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044964/
https://www.ncbi.nlm.nih.gov/pubmed/31668155
http://dx.doi.org/10.1017/S0016672319000089
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