Artificial intelligence as a diagnostic tool in non-invasive imaging in the assessment of coronary artery disease

Doolub, G. orcid.org/0000-0002-3089-2690, Mamalakis, M. orcid.org/0000-0002-4276-4119, Alabed, S. orcid.org/0000-0002-9960-7587 et al. (6 more authors) (2023) Artificial intelligence as a diagnostic tool in non-invasive imaging in the assessment of coronary artery disease. Medical Sciences, 11 (1). 20. ISSN 2076-3271

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: artificial intelligence; coronary artery disease; cardiac imaging
Dates:
  • Accepted: 22 February 2023
  • Published (online): 24 February 2023
  • Published: March 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Infection, Immunity and Cardiovascular Disease
Depositing User: Symplectic Sheffield
Date Deposited: 15 Mar 2023 15:34
Last Modified: 15 Mar 2023 15:34
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/medsci11010020

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