Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/127619
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Type: Journal article
Title: Enhanced diagnosis of severe aortic stenosis using artificial intelligence: a proof-of-concept study of 530,871 echocardiograms
Author: Playford, D.
Bordin, E.
Mohamad, R.
Stewart, S.
Strange, G.
Citation: JACC: Cardiovascular Imaging, 2020; 13(4):1087-1090
Publisher: Elsevier
Issue Date: 2020
ISSN: 1936-878X
1876-7591
Statement of
Responsibility: 
David Playford, Edward Bordin, Razali Mohamad, Simon Stewart, Geoff Strange
Abstract: Abstract not available
Keywords: Aortic Valve; Humans; Aortic Valve Stenosis; Diagnosis, Computer-Assisted; Image Interpretation, Computer-Assisted; Echocardiography; Prognosis; Severity of Illness Index; Predictive Value of Tests; Ventricular Function, Left; Artificial Intelligence; Databases, Factual; Adult; Aged; Aged, 80 and over; Middle Aged; Female; Male; Hemodynamics; Proof of Concept Study
Rights: © 2020 by the American College of Cardiology Foundation. Published by Elsevier.
RMID: 1000019636
DOI: 10.1016/j.jcmg.2019.10.013
Appears in Collections:Medicine publications

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