TY - JOUR
T1 - Contemporary application of artificial intelligence in prostate cancer
T2 - an i-TRUE study
AU - Hameed, B. M.Zeeshan
AU - Shah, Milap
AU - Naik, Nithesh
AU - Ibrahim, Sufyan
AU - Somani, Bhaskar
AU - Rice, Patrick
AU - Soomro, Naeem
AU - Rai, Bhavan Prasad
N1 - Publisher Copyright:
© The Author(s), 2021.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
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U2 - 10.1177/1756287220986640
DO - 10.1177/1756287220986640
M3 - Review article
AN - SCOPUS:85099821354
SN - 1756-2872
VL - 13
JO - Therapeutic Advances in Urology
JF - Therapeutic Advances in Urology
ER -