Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports.
Natural language processing
Radiology
Radiology reports
Transformers
Word embeddings
Journal
Radiologic clinics of North America
ISSN: 1557-8275
Titre abrégé: Radiol Clin North Am
Pays: United States
ID NLM: 0123703
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
entrez:
25
10
2021
pubmed:
26
10
2021
medline:
29
10
2021
Statut:
ppublish
Résumé
Natural language processing (NLP) is a subfield of computer science and linguistics that can be applied to extract meaningful information from radiology reports. Symbolic NLP is rule based and well suited to problems that can be explicitly defined by a set of rules. Statistical NLP is better situated to problems that cannot be well defined and requires annotated or labeled examples from which machine learning algorithms can infer the rules. Both symbolic and statistical NLP have found success in a variety of radiology use cases. More recently, deep learning approaches, including transformers, have gained traction and demonstrated good performance.
Identifiants
pubmed: 34689877
pii: S0033-8389(21)00077-4
doi: 10.1016/j.rcl.2021.06.003
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
919-931Informations de copyright
Published by Elsevier Inc.