The role of artificial intelligence in predicting outcomes by cardiovascular magnetic resonance : a comprehensive systematic review

Assadi, H., Alabed, S. orcid.org/0000-0002-9960-7587, Maiter, A. et al. (8 more authors) (2022) The role of artificial intelligence in predicting outcomes by cardiovascular magnetic resonance : a comprehensive systematic review. Medicina, 58 (8). 1087.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. Licensee MDPI, Basel, Switzerland. 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; machine learning; CMR; systematic review; prognosis
Dates:
  • Accepted: 6 August 2022
  • Published (online): 12 August 2022
  • Published: 12 August 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield)
Funding Information:
FunderGrant number
The Wellcome Trust205188/Z/16/Z
Depositing User: Symplectic Sheffield
Date Deposited: 23 Aug 2022 14:16
Last Modified: 23 Aug 2022 14:16
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/medicina58081087

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