Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hameed, B. M. Zeeshan, Shah, Milap, Naik, Nithesh, Ibrahim, Sufyan, Somani, Bhaskar, Rice, Patrick, Soomro, Naeem, Rai, Bhavan Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
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
_version_ 1783643892115046400
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
work_keys_str_mv AT hameedbmzeeshan contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT shahmilap contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT naiknithesh contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT ibrahimsufyan contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT somanibhaskar contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT ricepatrick contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT soomronaeem contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy
AT raibhavanprasad contemporaryapplicationofartificialintelligenceinprostatecanceranitruestudy