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Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study
Artificial intelligence (AI) involves technology that is able to emulate tasks previously carried out by humans. The growing incidence, novel diagnostic strategies and newer available therapeutic options have had resource and economic impacts on the healthcare organizations providing prostate cancer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841858/ https://www.ncbi.nlm.nih.gov/pubmed/33633799 http://dx.doi.org/10.1177/1756287220986640 |
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author | Hameed, B. M. Zeeshan Shah, Milap Naik, Nithesh Ibrahim, Sufyan Somani, Bhaskar Rice, Patrick Soomro, Naeem Rai, Bhavan Prasad |
author_facet | Hameed, B. M. Zeeshan Shah, Milap Naik, Nithesh Ibrahim, Sufyan Somani, Bhaskar Rice, Patrick Soomro, Naeem Rai, Bhavan Prasad |
author_sort | Hameed, B. M. Zeeshan |
collection | PubMed |
description | Artificial intelligence (AI) involves technology that is able to emulate tasks previously carried out by humans. The growing incidence, novel diagnostic strategies and newer available therapeutic options have had resource and economic impacts on the healthcare organizations providing prostate cancer care. AI has the potential to be an adjunct to and, in certain cases, a replacement for human input in prostate cancer care delivery. Automation can also address issues such as inter- and intra-observer variability and has the ability to deliver analysis of large volume datasets quickly and accurately. The continuous training and testing of AI algorithms will facilitate development of futuristic AI models that will have integral roles to play in diagnostics, enhanced training and surgical outcomes and developments of prostate cancer predictive tools. These AI related innovations will enable clinicians to provide individualized care. Despite its potential benefits, it is vital that governance with AI related care is maintained and responsible adoption is achieved. |
format | Online Article Text |
id | pubmed-7841858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78418582021-02-24 Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study Hameed, B. M. Zeeshan Shah, Milap Naik, Nithesh Ibrahim, Sufyan Somani, Bhaskar Rice, Patrick Soomro, Naeem Rai, Bhavan Prasad Ther Adv Urol Review Article Artificial intelligence (AI) involves technology that is able to emulate tasks previously carried out by humans. The growing incidence, novel diagnostic strategies and newer available therapeutic options have had resource and economic impacts on the healthcare organizations providing prostate cancer care. AI has the potential to be an adjunct to and, in certain cases, a replacement for human input in prostate cancer care delivery. Automation can also address issues such as inter- and intra-observer variability and has the ability to deliver analysis of large volume datasets quickly and accurately. The continuous training and testing of AI algorithms will facilitate development of futuristic AI models that will have integral roles to play in diagnostics, enhanced training and surgical outcomes and developments of prostate cancer predictive tools. These AI related innovations will enable clinicians to provide individualized care. Despite its potential benefits, it is vital that governance with AI related care is maintained and responsible adoption is achieved. SAGE Publications 2021-01-23 /pmc/articles/PMC7841858/ /pubmed/33633799 http://dx.doi.org/10.1177/1756287220986640 Text en © The Author(s), 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://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 | Review Article Hameed, B. M. Zeeshan Shah, Milap Naik, Nithesh Ibrahim, Sufyan Somani, Bhaskar Rice, Patrick Soomro, Naeem Rai, Bhavan Prasad Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title | Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title_full | Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title_fullStr | Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title_full_unstemmed | Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title_short | Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study |
title_sort | contemporary application of artificial intelligence in prostate cancer: an i-true study |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841858/ https://www.ncbi.nlm.nih.gov/pubmed/33633799 http://dx.doi.org/10.1177/1756287220986640 |
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