Artificial intelligence in liver ultrasound.
Deep learning
Diffuse liver diseases
Focal liver diseases
Machine learning
Radiomics
Ultrasound
Journal
World journal of gastroenterology
ISSN: 2219-2840
Titre abrégé: World J Gastroenterol
Pays: United States
ID NLM: 100883448
Informations de publication
Date de publication:
21 Jul 2022
21 Jul 2022
Historique:
received:
07
02
2022
revised:
18
04
2022
accepted:
19
06
2022
entrez:
26
9
2022
pubmed:
27
9
2022
medline:
28
9
2022
Statut:
ppublish
Résumé
Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions. It can assess the severity of liver fibrosis and nonalcoholic fatty liver, differentially diagnose benign and malignant liver lesions, distinguish primary from secondary liver cancers, predict the curative effect of liver cancer treatment and recurrence after treatment, and predict microvascular invasion in hepatocellular carcinoma. The findings from these studies have great clinical application potential in the near future. The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound.
Identifiants
pubmed: 36158262
doi: 10.3748/wjg.v28.i27.3398
pmc: PMC9346461
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
3398-3409Informations de copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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