Integration of artificial intelligence into clinical patient management: focus on cardiac imaging.
Aprendizaje automático
Artificial intelligence
Cardiac imaging
Cardiology
Cardiología
Imagen cardiaca
Inteligencia artificial
Machine learning
Journal
Revista espanola de cardiologia (English ed.)
ISSN: 1885-5857
Titre abrégé: Rev Esp Cardiol (Engl Ed)
Pays: Spain
ID NLM: 101587954
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
16
06
2020
accepted:
01
07
2020
pubmed:
21
8
2020
medline:
27
4
2021
entrez:
22
8
2020
Statut:
ppublish
Résumé
Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image pre- and postprocessing, study reporting, diagnostics and outcome predictions, medical interventions, and, finally, knowledge-building through clinical research. With the gradual and ubiquitous infiltration of artificial intelligence into cardiology, it has become clear that, when used appropriately, it will influence and potentially improve-through automation, standardization and data integration-all components of the clinical workflow. This review aims to present a comprehensive view of full integration of artificial intelligence into the standard clinical patient management-with a focus on cardiac imaging, but applicable to all information handling-and to discuss current barriers that remain to be overcome before its widespread implementation and integration.
Identifiants
pubmed: 32819849
pii: S1885-5857(20)30314-5
doi: 10.1016/j.rec.2020.07.003
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
spa
Sous-ensembles de citation
IM
Pagination
72-80Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2020 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.