Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer

被引：9
|
作者：
Chu, Timothy N. N. [1 ]
Wong, Elyssa Y. Y. [1 ]
Ma, Runzhuo [1 ]
Yang, Cherine H. H. [1 ]
Dalieh, Istabraq S. [1 ]
Hung, Andrew J. J. [1 ]
机构：
[1] Univ Southern Calif, USC Inst Urol, Ctr Robot Simulat & Educ, Dept Urol, Catherine & Joseph Aresty1441 Eastlake Ave Suite 7, Los Angeles, CA 90089 USA
来源：
CURRENT UROLOGY REPORTS | 2023年 / 24卷 / 05期
关键词：
Artificial intelligence; Machine learning; Prostate cancer; Radiomics; Pathomics; RADIOMICS; BIOPSIES;
D O I：
10.1007/s11934-023-01149-6
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
Purpose of ReviewThis 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 FindingsRecent literature has focused particularly on the use of AI in radiomics, pathomics, the evaluation of surgical skills, and patient outcomes.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.
引用
收藏
页码：231 / 240
页数：10
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