Artificial intelligence in prostate cancer: Definitions, current research, and future directions

被引：11

作者：

George, Rose S. ^{[1
]}

Htoo, Arkar ^{[1
]}

Cheng, Michael ^{[2
]}

Masterson, Timothy M. ^{[3
]}

Huang, Kun ^{[2
,4
,6
]}

Adra, Nabil ^{[2
,3
]}

Kaimakliotis, Hristos Z. ^{[3
]}

Akgul, Mahmut ^{[1
]}

Cheng, Liang ^{[3
,5
]}

机构：

[1] Albany Med Ctr, Dept Pathol & Lab Med, Albany, NY 12208 USA

[2] Dept Med, Indianapolis, IN USA

[3] Dept Urol, Indianapolis, IN 46202 USA

[4] Dept Biostat & Hlth Data Sci, Indianapolis, IN USA

[5] Indiana Univ Sch Med, Dept Pathol & Lab Med, Indianapolis, IN 46202 USA

[6] Regenstrief Inst Hlth Care, Indianapolis, IN USA

来源：

UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS | 2022年 / 40卷 / 06期

关键词：

Prostate cancer; Urologic oncology; Computational pathology; Artificial intelligence; Machine learning; DIAGNOSIS; BIOPSIES; CLASSIFICATION; VALIDATION; NOMOGRAM; SYSTEM; IMAGES;

D O I：

10.1016/j.urolonc.2022.03.003

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Multiple novel modalities tasking artificial intelligence based computational pathology applications and integrating other variables, such as risk factors, tumor microenvironment, genomic testing data, laboratory findings, clinical history, and radiology findings, will improve diagnostic consistency and generate a synergistic diagnostic workflow. In this article, we present the concise and contemporary review on the utilization of artificial intelligence in prostate cancer and identify areas for possible future applications. (c) 2022 Elsevier Inc. All rights reserved.

引用

页码：262 / 270

页数：9

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