Artificial Intelligence and Stroke Imaging: A West Coast Perspective.
Artificial intelligence
Deep learning
Machine learning
Stroke imaging
Journal
Neuroimaging clinics of North America
ISSN: 1557-9867
Titre abrégé: Neuroimaging Clin N Am
Pays: United States
ID NLM: 9211377
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
entrez:
11
10
2020
pubmed:
12
10
2020
medline:
12
8
2021
Statut:
ppublish
Résumé
Artificial intelligence (AI) advancements have significant implications for medical imaging. Stroke is the leading cause of disability and the fifth leading cause of death in the United States. AI applications for stroke imaging are a topic of intense research. AI techniques are well-suited for dealing with vast amounts of stroke imaging data and a large number of multidisciplinary approaches used in classification, risk assessment, segmentation tasks, diagnosis, prognosis, and even prediction of therapy responses. This article addresses this topic and seeks to present an overview of machine learning and/or deep learning applied to stroke imaging.
Identifiants
pubmed: 33038998
pii: S1052-5149(20)30051-4
doi: 10.1016/j.nic.2020.07.001
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
479-492Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Disclosure G. Zahachuk and M. Wintermark own equity interest in Subtle Medical.