Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning

被引：9

作者：

Dai, Wangzhi ^{[1
,2
]}

Nazzari, Hamed ^{[3
,4
]}

Namasivayam, Mayooran ^{[5
,6
,7
]}

Hung, Judy ^{[8
]}

Stultz, Collin M. ^{[1
,2
,8
,9
]}

机构：

[1] MIT, Dept Elect Engn & Comp Sci, Elect Res Lab, Cambridge, MA 02139 USA

[2] MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] Surrey Mem Hosp, Dept Cardiol, Surrey, BC, Canada

[4] Univ British Columbia, Vancouver, BC, Canada

[5] St Vincents Hosp, Dept Cardiol, Sydney, NSW, Australia

[6] Univ New South Wales, Fac Med & Hlth, Sydney, NSW, Australia

[7] Victor Chang Cardiac Res Inst, Heart Valve Dis & Artificial Intelligence Lab, Sydney, NSW, Australia

[8] Massachusetts Gen Hosp, Div Cardiol, Boston, MA 02114 USA

[9] MIT, Inst Med Engn & Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA

来源：

JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY | 2023年 / 36卷 / 01期

关键词：

Aortic stenosis; Machine learning; Parasternal long-axis view;

D O I：

10.1016/j.echo.2022.10.014

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

[No abstract available]

引用

页码：116 / 118

页数：3

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