Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists.
Journal
Seminars in roentgenology
ISSN: 1558-4658
Titre abrégé: Semin Roentgenol
Pays: United States
ID NLM: 0053252
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
06
02
2023
accepted:
06
02
2023
medline:
25
4
2023
pubmed:
23
4
2023
entrez:
22
04
2023
Statut:
ppublish
Résumé
Health informatics and artificial intelligence (AI) are expected to transform the healthcare enterprise and the future practice of radiology. There is an increasing body of literature on radiomics and deep learning/AI applications in medical imaging. There are also a steadily increasing number of FDA cleared AI applications in radiology. It is therefore essential for radiologists to have a basic understanding of these approaches, whether in academia or private practice. In this article, we will provide an overview of the field and familiarize the readers with the fundamental concepts behind these approaches.
Identifiants
pubmed: 37087135
pii: S0037-198X(23)00009-3
doi: 10.1053/j.ro.2023.02.002
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
152-157Informations de copyright
Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: R.F. has research collaborations with Nuance Communications Inc. and GE Healthcare.