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Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer
PURPOSE OF REVIEW: This review aims to explore the current state of research on the use of artificial intelligence (AI) in the management of prostate cancer. We examine the various applications of AI in prostate cancer, including image analysis, prediction of treatment outcomes, and patient stratifi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090000/ https://www.ncbi.nlm.nih.gov/pubmed/36808595 http://dx.doi.org/10.1007/s11934-023-01149-6 |
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author | Chu, Timothy N. Wong, Elyssa Y. Ma, Runzhuo Yang, Cherine H. Dalieh, Istabraq S. Hung, Andrew J. |
author_facet | Chu, Timothy N. Wong, Elyssa Y. Ma, Runzhuo Yang, Cherine H. Dalieh, Istabraq S. Hung, Andrew J. |
author_sort | Chu, Timothy N. |
collection | PubMed |
description | PURPOSE OF REVIEW: This review aims to explore the current state of research on the use of artificial intelligence (AI) in the management of prostate cancer. We examine the various applications of AI in prostate cancer, including image analysis, prediction of treatment outcomes, and patient stratification. Additionally, the review will evaluate the current limitations and challenges faced in the implementation of AI in prostate cancer management. RECENT FINDINGS: Recent literature has focused particularly on the use of AI in radiomics, pathomics, the evaluation of surgical skills, and patient outcomes. SUMMARY: AI has the potential to revolutionize the future of prostate cancer management by improving diagnostic accuracy, treatment planning, and patient outcomes. Studies have shown improved accuracy and efficiency of AI models in the detection and treatment of prostate cancer, but further research is needed to understand its full potential as well as limitations. |
format | Online Article Text |
id | pubmed-10090000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100900002023-04-13 Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer Chu, Timothy N. Wong, Elyssa Y. Ma, Runzhuo Yang, Cherine H. Dalieh, Istabraq S. Hung, Andrew J. Curr Urol Rep Prostate Cancer (S Prasad, Section Editor) PURPOSE OF REVIEW: This review aims to explore the current state of research on the use of artificial intelligence (AI) in the management of prostate cancer. We examine the various applications of AI in prostate cancer, including image analysis, prediction of treatment outcomes, and patient stratification. Additionally, the review will evaluate the current limitations and challenges faced in the implementation of AI in prostate cancer management. RECENT FINDINGS: Recent literature has focused particularly on the use of AI in radiomics, pathomics, the evaluation of surgical skills, and patient outcomes. SUMMARY: AI has the potential to revolutionize the future of prostate cancer management by improving diagnostic accuracy, treatment planning, and patient outcomes. Studies have shown improved accuracy and efficiency of AI models in the detection and treatment of prostate cancer, but further research is needed to understand its full potential as well as limitations. Springer US 2023-02-18 2023 /pmc/articles/PMC10090000/ /pubmed/36808595 http://dx.doi.org/10.1007/s11934-023-01149-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Prostate Cancer (S Prasad, Section Editor) Chu, Timothy N. Wong, Elyssa Y. Ma, Runzhuo Yang, Cherine H. Dalieh, Istabraq S. Hung, Andrew J. Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title | Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title_full | Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title_fullStr | Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title_full_unstemmed | Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title_short | Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer |
title_sort | exploring the use of artificial intelligence in the management of prostate cancer |
topic | Prostate Cancer (S Prasad, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090000/ https://www.ncbi.nlm.nih.gov/pubmed/36808595 http://dx.doi.org/10.1007/s11934-023-01149-6 |
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