Greatbatch, O; Garrett, A; Snape, K
(2019)
The impact of artificial intelligence on the current and future practice of clinical cancer genomics.
Genet Res (Camb), 101.
e9.
ISSN 1469-5073
https://doi.org/10.1017/S0016672319000089
SGUL Authors: Snape, Katie Mairwen Greenwood
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Abstract
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.
Item Type: | Article | ||||||
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Additional Information: | © The Author(s) 2019. 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. | ||||||
Keywords: | Evolutionary Biology, 0604 Genetics | ||||||
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Cell Sciences (INCCCS) |
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Journal or Publication Title: | Genet Res (Camb) | ||||||
ISSN: | 1469-5073 | ||||||
Language: | eng | ||||||
Dates: |
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PubMed ID: | 31668155 | ||||||
Go to PubMed abstract | |||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/111614 | ||||||
Publisher's version: | https://doi.org/10.1017/S0016672319000089 |
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