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The Present and Future of Artificial Intelligence in Urological Cancer

Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomou...

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Detalles Bibliográficos
Autores principales: Liu, Xun, Shi, Jianxi, Li, Zhaopeng, Huang, Yue, Zhang, Zhihong, Zhang, Changwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419644/
https://www.ncbi.nlm.nih.gov/pubmed/37568397
http://dx.doi.org/10.3390/jcm12154995
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author Liu, Xun
Shi, Jianxi
Li, Zhaopeng
Huang, Yue
Zhang, Zhihong
Zhang, Changwen
author_facet Liu, Xun
Shi, Jianxi
Li, Zhaopeng
Huang, Yue
Zhang, Zhihong
Zhang, Changwen
author_sort Liu, Xun
collection PubMed
description Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomously. Although the clinical application of AI is still immature and faces drawbacks such as insufficient data and a lack of prospective clinical trials, AI will play an essential role in individualization and the whole management of cancers as research progresses. In this review, we summarize the applications and studies of AI in major urological cancers, including tumor diagnosis, treatment, and prognosis prediction. Moreover, we discuss the current challenges and future applications of AI.
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spelling pubmed-104196442023-08-12 The Present and Future of Artificial Intelligence in Urological Cancer Liu, Xun Shi, Jianxi Li, Zhaopeng Huang, Yue Zhang, Zhihong Zhang, Changwen J Clin Med Review Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomously. Although the clinical application of AI is still immature and faces drawbacks such as insufficient data and a lack of prospective clinical trials, AI will play an essential role in individualization and the whole management of cancers as research progresses. In this review, we summarize the applications and studies of AI in major urological cancers, including tumor diagnosis, treatment, and prognosis prediction. Moreover, we discuss the current challenges and future applications of AI. MDPI 2023-07-29 /pmc/articles/PMC10419644/ /pubmed/37568397 http://dx.doi.org/10.3390/jcm12154995 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Liu, Xun
Shi, Jianxi
Li, Zhaopeng
Huang, Yue
Zhang, Zhihong
Zhang, Changwen
The Present and Future of Artificial Intelligence in Urological Cancer
title The Present and Future of Artificial Intelligence in Urological Cancer
title_full The Present and Future of Artificial Intelligence in Urological Cancer
title_fullStr The Present and Future of Artificial Intelligence in Urological Cancer
title_full_unstemmed The Present and Future of Artificial Intelligence in Urological Cancer
title_short The Present and Future of Artificial Intelligence in Urological Cancer
title_sort present and future of artificial intelligence in urological cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419644/
https://www.ncbi.nlm.nih.gov/pubmed/37568397
http://dx.doi.org/10.3390/jcm12154995
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