Validation of artificial intelligence cardiac MRI measurements: relationship to heart catheterization and mortality prediction

Alabed, S. orcid.org/0000-0002-9960-7587, Alandejani, F., Dwivedi, K. et al. (21 more authors) (2022) Validation of artificial intelligence cardiac MRI measurements: relationship to heart catheterization and mortality prediction. Radiology. ISSN 0033-8419

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Author(s). Published under a CC BY 4.0 license. (http://creativecommons.org/licenses/by/4.0).
Dates:
  • Accepted: 27 April 2022
  • Published (online): 14 June 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Academic Unit of Medical Education (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
DEPARTMENT OF HEALTH AND SOCIAL CAREAI_AWARD01706
WELLCOME TRUST (THE)205188/Z/16/Z
Academy of Medical SciencesNone-SGL015\1023
National Institute for Health ResearchAI_AWARD01706
Depositing User: Symplectic Sheffield
Date Deposited: 08 Sep 2022 13:21
Last Modified: 08 Sep 2022 13:21
Status: Published online
Publisher: Radiological Society of North America (RSNA)
Refereed: Yes
Identification Number: https://doi.org/10.1148/radiol.212929
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