Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

被引：34

作者：

Kwong, Jethro C. C. ^{[1
,2
]}

McLoughlin, Louise C. ^{[1
,2
]}

Haider, Masoom ^{[3
,4
]}

Goldenberg, Mitchell G. ^{[1
]}

Erdman, Lauren ^{[5
,6
]}

Rickard, Mandy ^{[7
]}

Lorenzo, Armando J. ^{[1
,7
]}

Hung, Andrew J. ^{[8
]}

Farcas, Monica ^{[1
]}

Goldenberg, Larry ^{[9
]}

Nguan, Chris ^{[9
]}

Braga, Luis H. ^{[10
]}

Mamdani, Muhammad ^{[2
,6
,11
]}

Goldenberg, Anna ^{[2
,5
,6
]}

Kulkarni, Girish S. ^{[1
,2
]}

机构：

[1] Univ Toronto, Dept Surg, Div Urol, Toronto, ON, Canada

[2] Univ Toronto, Temerty Ctr AI Res & Educ Med, Toronto, ON, Canada

[3] Univ Toronto, Joint Dept Med Imaging, Toronto, ON, Canada

[4] Sinai Hlth Syst, Radi & Oncol Imaging Res Lab, AI, Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada

[5] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada

[6] Vector Inst, Toronto, ON, Canada

[7] Hosp Sick Children, Div Urol, Toronto, ON, Canada

[8] Univ Southern Calif, Ctr Robot Simulat & Educ, Catherine & Joseph Aresty Dept Urol, Inst Urol, Los Angeles, CA USA

[9] Univ British Columbia, Dept Urol Sci, Vancouver, BC, Canada

[10] McMaster Univ, Div Urol, Dept Surg, Toronto, ON, Canada

[11] Unity Hlth Toronto, Toronto, ON, Canada

来源：

EUROPEAN UROLOGY FOCUS | 2021年 / 7卷 / 04期

关键词：

ARTIFICIAL-INTELLIGENCE; HEALTH;

D O I：

10.1016/j.euf.2021.07.004

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：

引用

页码：672 / 682

页数：11

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