Artificial Intelligence in Head and Neck Imaging: A Glimpse into the Future.
Artificial intelligence
Automation
Deep learning
Head and neck imaging
Machine learning
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:
Aug 2020
Aug 2020
Historique:
entrez:
1
7
2020
pubmed:
1
7
2020
medline:
27
4
2021
Statut:
ppublish
Résumé
Artificial intelligence, specifically machine learning and deep learning, is a rapidly developing field in imaging sciences with the potential to improve the efficiency and effectiveness of radiologists. This review covers common technical terms and basic concepts in imaging artificial intelligence and briefly reviews the application of these techniques to general imaging as well as head and neck imaging. Artificial intelligence has the potential to contribute improvements to all areas of patient care, including image acquisition, processing, segmentation, automated detection of findings, integration of clinical information, quality improvement, and research. Numerous challenges remain, however, before widespread imaging clinical adoption and integration occur.
Identifiants
pubmed: 32600636
pii: S1052-5149(20)30027-7
doi: 10.1016/j.nic.2020.04.004
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
359-368Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Disclosure The authors have nothing to disclose.