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Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography.改进超声视频分类：超声心动图中新型深度学习方法的评估
J Med Artif Intell. 2020 Mar 25;3. doi: 10.21037/jmai.2019.10.03.
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Fast and accurate view classification of echocardiograms using deep learning.使用深度学习对超声心动图进行快速准确的视图分类。
NPJ Digit Med. 2018;1. doi: 10.1038/s41746-017-0013-1. Epub 2018 Mar 21.
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Need for a Global Definition of Normative Echo Values-Rationale and Design of the World Alliance of Societies of Echocardiography Normal Values Study (WASE).对规范性超声心动图值进行全球定义的必要性——超声心动图学会世界联盟正常值研究（WASE）的基本原理与设计
J Am Soc Echocardiogr. 2019 Jan;32(1):157-162.e2. doi: 10.1016/j.echo.2018.10.006. Epub 2018 Nov 17.
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Fully Automated Echocardiogram Interpretation in Clinical Practice.临床实践中的全自动超声心动图解读。
Circulation. 2018 Oct 16;138(16):1623-1635. doi: 10.1161/CIRCULATIONAHA.118.034338.
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Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.超声心动图成人左心室容量和射血分数测量：美国超声心动图学会和欧洲心血管影像协会的更新建议。
J Am Soc Echocardiogr. 2015 Jan;28(1):1-39.e14. doi: 10.1016/j.echo.2014.10.003.
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The ventricular volume variability study of the Pediatric Heart Network: study design and impact of beat averaging and variable type on the reproducibility of echocardiographic measurements in children with chronic dilated cardiomyopathy.儿科心脏病网络的心室容量变异性研究：研究设计和心动周期平均与变量类型对慢性扩张型心肌病儿童超声心动图测量可重复性的影响。
J Am Soc Echocardiogr. 2012 Aug;25(8):842-854.e6. doi: 10.1016/j.echo.2012.05.004. Epub 2012 Jun 5.
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Contrast echocardiography improves the accuracy and reproducibility of left ventricular remodeling measurements: a prospective, randomly assigned, blinded study.对比超声心动图提高了左心室重构测量的准确性和可重复性：一项前瞻性、随机分配、盲法研究。
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Accuracy and reproducibility of biplane two-dimensional echocardiographic measurements of left ventricular dimensions and function.双平面二维超声心动图测量左心室大小和功能的准确性及可重复性。
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Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change?

作者信息

Lang Roberto M, Addetia Karima, Miyoshi Tatsuya, Kebed Kalie, Blitz Alexandra, Schreckenberg Marcus, Hitschrich Niklas, Mor-Avi Victor, Asch Federico M

机构信息

University of Chicago Medical Center, Chicago, Illinois.

MedStar Heart and Vascular Institute/Health Research Institute, Washington, D.C.

出版信息

J Am Soc Echocardiogr. 2021 Apr;34(4):443-445. doi: 10.1016/j.echo.2020.11.017. Epub 2020 Dec 1.

DOI:10.1016/j.echo.2020.11.017
PMID:33276079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8026622/
Abstract
摘要