首页> Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine> Making Artificial Intelligence Lemonade Out of Data Lemons: Adaptation of a Public Apical Echo Database for Creation of a Subxiphoid Visual Estimation Automatic Ejection Fraction Machine Learning Algorithm.

Making Artificial Intelligence Lemonade Out of Data Lemons: Adaptation of a Public Apical Echo Database for Creation of a Subxiphoid Visual Estimation Automatic Ejection Fraction Machine Learning Algorithm.

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第一作者： Michael,Blaivas

第一单位： Department of Medicine, University of South Carolina School of Medicine, Columbia, SC, USA.;Department of Emergency Medicine, St. Francis Hospital, Columbus, GA, USA.

作者： Michael,Blaivas ^[1] ; Laura N,Blaivas ^[2] ; Kendra,Campbell ^[3] ; Joseph,Thomas ^[4] ; Sonia,Shah ^[4] ; Kabir,Yadav ^[5] ; Yiju Teresa,Liu ^[5]

作者单位： Department of Medicine, University of South Carolina School of Medicine, Columbia, SC, USA.;Department of Emergency Medicine, St. Francis Hospital, Columbus, GA, USA. ^[1] Michigan State University, East Lansing, MI, USA. ^[2] Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA. ^[3] Department of Cardiology, Harbor-UCLA Medical Center, Torrance, CA, USA.;David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. ^[4] Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA.;David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. ^[5]

关键词 artificial intelligence deep learning echocardiography ejection fraction image manipulationimage manipulation point-of-care ultrasound

医学主题词算法(Algorithms);人工智能(Artificial Intelligence);超声心动描记术(Echocardiography);人类(Humans);每搏输出量(Stroke Volume);心室功能, 左(Ventricular Function, Left)

DOI 10.1002/jum.15889

PMID 34820867

发布时间 2022-07-18

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