Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131930
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Type: Journal article
Title: 3D printing, computational modeling, and artificial intelligence for structural heart disease
Author: Wang, D.D.
Qian, Z.
Vukicevic, M.
Engelhardt, S.
Kheradvar, A.
Zhang, C.
Little, S.H.
Verjans, J.
Comaniciu, D.
O'Neill, W.W.
Vannan, M.A.
Citation: JACC: Cardiovascular Imaging, 2021; 14(1):41-60
Publisher: Elsevier
Issue Date: 2021
ISSN: 1936-878X
1876-7591
Statement of
Responsibility: 
Dee Dee Wang, Zhen Qian, Marija Vukicevic, Sandy Engelhardt, Arash Kheradvar, Chuck Zhang, Stephen H. Little, Johan Verjans, Dorin Comaniciu, William W. O'Neill, Mani A. Vannan
Abstract: Abstract not available
Keywords: 3D printing
artificial intelligence
computational modeling
computed tomography
left atrial appendage
structural heart disease
transcatheter aortic valve replacement
transcatheter mitral valve replacement
transesophageal echocardiogram
Rights: © 2021 by the American College of Cardiology Foundation.
DOI: 10.1016/j.jcmg.2019.12.022
Published version: http://dx.doi.org/10.1016/j.jcmg.2019.12.022
Appears in Collections:Aurora harvest 8
Medicine publications

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