Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018

被引：60

作者：

West, Elizabeth ^{[1
]}

Mutasa, Simukayi ^{[1
]}

Zhu, Zelos ^{[2
]}

Ha, Richard ^{[3
]}

机构：

[1] Columbia Univ, Med Ctr, New York Presbyterian Hosp, Dept Radiol, New York, NY USA

[2] Columbia Mailman Sch Publ Hlth, New York, NY USA

[3] Columbia Univ, Med Ctr, New York Presbyterian Hosp, Breast Imaging Sect, 622 W 168th St,PB-1-301, New York, NY 10032 USA

来源：

AMERICAN JOURNAL OF ROENTGENOLOGY | 2019年 / 213卷 / 06期

关键词：

artificial intelligence; artificial neural network; bibliometric;

D O I：

10.2214/AJR.19.21346

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

OBJECTIVE. The purpose of this study is to evaluate the global trend in artificial intelligence (AI)-based research productivity involving radiology and its subspecialty disciplines. CONCLUSION. The United States is the global leader in AI radiology publication productivity, accounting for almost half of total radiology AI output. Other countries have increased their productivity. Notably, China has increased its productivity exponentially to close to 20% of all AI publications. The top three productive radiology subspecialties were neuroradiology, body and chest, and nuclear medicine.

引用

页码：1204 / 1206

页数：3

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