Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change?

被引：22

作者：

Lang, Roberto M. ^{[1
]}

Addetia, Karima ^{[1
]}

Miyoshi, Tatsuya ^{[2
]}

Kebed, Kalie ^{[1
]}

Blitz, Alexandra ^{[3
]}

Schreckenberg, Marcus ^{[3
]}

Hitschrich, Niklas ^{[3
]}

Mor-Avi, Victor ^{[1
]}

Asch, Federico M. ^{[2
]}

机构：

[1] Univ Chicago, Med Ctr, Chicago, IL 60637 USA

[2] MedStar Heart & Vasc Inst, Hlth Res Inst, Washington, DC USA

[3] TOMTEC Imaging Syst, Unterschleissheim, Germany

来源：

JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY | 2021年 / 34卷 / 04期

关键词：

REPRODUCIBILITY; ACCURACY;

D O I：

10.1016/j.echo.2020.11.017

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：443 / 445

页数：3

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