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Paper Details

Severe aortic stenosis detection by deep learning applied to echocardiography.
Eur Heart J
8
2023
AS, aortic stenosis
Aortic Valve, Aortic Valve Stenosis, Deep Learning, Echocardiography, Humans, Ultrasonography
Author NameAffiliation
Gregory HolsteThe University of Texas at Austin
Gregory HolsteYale University School of Medicine
Evangelos K OikonomouYale University School of Medicine
Bobak J MortazaviTexas A&M University, College Station
Bobak J MortazaviCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Andreas CoppiYale University School of Medicine
Andreas CoppiCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Kamil F FaridiYale University School of Medicine
John K ForrestYale University School of Medicine
Robert L McNamaraYale University School of Medicine
Lucila Ohno-MachadoYale School of Medicine
Neal YuanUniversity of California San Francisco
Neal YuanSan Francisco Veterans Affairs Medical Center
Aakriti GuptaSmidt Heart Institute, Cedars-Sinai Medical Center
David OuyangSmidt Heart Institute, Cedars-Sinai Medical Center
David OuyangCedars-Sinai Medical Center
Harlan M KrumholzYale University School of Medicine
Harlan M KrumholzYale School of Public Health
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Harlan M KrumholzYale University School of Medicine
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Harlan M KrumholzYale School of Public Health
Zhangyang WangThe University of Texas at Austin
Rohan KheraYale University School of Medicine
Rohan KheraCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Rohan KheraYale School of Medicine
Rohan KheraYale School of Public Health, 60 College St
Rohan KheraYale University School of Medicine
Rohan KheraCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Rohan KheraYale School of Medicine
Rohan KheraYale School of Public Health, 60 College St
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