Editorial: The application of artificial intelligence in diagnosis, treatment and prognosis in urologic oncology

被引：1

作者：

Zhu, Xue-hua ^{[1
]}

Wu, Chin-Lee ^{[2
,3
]}

Zu, Xiong-bing ^{[4
]}

Lu, Jian ^{[1
]}

机构：

[1] Peking Univ Third Hosp, Dept Urol, Beijing, Peoples R China

[2] Harvard Med Sch, Massachusetts Gen Hosp, Dept Urol, Boston, MA USA

[3] Harvard Med Sch, Massachusetts Gen Hosp, Dept Pathol, Boston, MA USA

[4] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Dept Urol, Changsha, Peoples R China

来源：

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

artificial intelligence (AI); machine learning; urological oncology; radiomics; clinical transformation;

D O I：

10.3389/fonc.2022.1118442

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

引用

页数：3