Emerging Roles for Artificial Intelligence in Heart Failure Imaging.
Artificial intelligence
Cardiac imaging
Cardiomyopathy
Heart failure
Machine learning
Journal
Heart failure clinics
ISSN: 1551-7136
Titre abrégé: Heart Fail Clin
Pays: United States
ID NLM: 101231934
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
medline:
18
9
2023
pubmed:
16
9
2023
entrez:
15
9
2023
Statut:
ppublish
Résumé
Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and prognostic paradigm of heart failure is heavily reliant on cardiac imaging. As AI becomes increasingly validated and integrated into clinical practice, AI influence on heart failure management will grow. This review discusses areas of current research and potential clinical applications in AI as applied to heart failure cardiac imaging.
Identifiants
pubmed: 37714592
pii: S1551-7136(23)00034-X
doi: 10.1016/j.hfc.2023.03.005
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
531-543Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.