The Present and Future of Artificial Intelligence in Urological Cancer

被引：3

作者：

Liu, Xun ^{[1
]}

Shi, Jianxi ^{[1
]}

Li, Zhaopeng ^{[1
]}

Huang, Yue ^{[1
]}

Zhang, Zhihong ^{[1
]}

Zhang, Changwen ^{[1
]}

机构：

[1] Tianjin Med Univ, Hosp 2, Tianjin Inst Urol, Tianjin 300211, Peoples R China

来源：

JOURNAL OF CLINICAL MEDICINE | 2023年 / 12卷 / 15期

关键词：

artificial intelligence; urological cancer; pathology; imaging; treatment; RENAL-CELL CARCINOMA; BLADDER-CANCER; INTEROBSERVER VARIABILITY; PROSTATE-CANCER; DIAGNOSIS; MODEL; PREDICTION; OUTCOMES; RISK; OPPORTUNITIES;

D O I：

10.3390/jcm12154995

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页数：14

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