Artificial Intelligence Applications in Intracranial Aneurysm: Achievements, Challenges and Opportunities.
Artificial Intelligence
Computer-assisted Diagnosis
Imaging
Intracranial Aneurysm
Machine Learning
Journal
Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
received:
06
04
2021
revised:
22
06
2021
accepted:
29
06
2021
pubmed:
12
8
2021
medline:
30
4
2022
entrez:
11
8
2021
Statut:
ppublish
Résumé
Intracranial aneurysms present in about 3% of the general population and the number of detected aneurysms is continuously rising with the advances in imaging techniques. Intracranial aneurysm rupture carries a high risk of death or permanent disabilities; therefore assessment of the intracranial aneurysm along the entire course is of great clinical importance. Given the outstanding performance of artificial intelligence (AI) in image-based tasks, many AI-based applications have emerged in recent years for the assessment of intracranial aneurysms. In this review we will summarize the state-of-the-art of AI applications in intracranial aneurysms, emphasizing the achievements, and exploring the challenges. We will also discuss the future prospects and potential opportunities. This article provides an updated view of the AI applications in intracranial aneurysms and may act as a basis for guiding the related future works.
Identifiants
pubmed: 34376335
pii: S1076-6332(21)00300-7
doi: 10.1016/j.acra.2021.06.013
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
S201-S214Informations de copyright
Copyright © 2021 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.