Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma.
Artificial intelligence
Hepatocellular carcinoma
Machine learning
Prognosis
Journal
Journal of clinical and translational hepatology
ISSN: 2310-8819
Titre abrégé: J Clin Transl Hepatol
Pays: United States
ID NLM: 101649815
Informations de publication
Date de publication:
28 Oct 2023
28 Oct 2023
Historique:
received:
26
10
2022
revised:
11
12
2022
accepted:
21
02
2023
medline:
14
8
2023
pubmed:
14
8
2023
entrez:
14
8
2023
Statut:
ppublish
Résumé
Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment of HCC have made great progress, the overall prognosis remains poor. As the core component of artificial intelligence, machine learning (ML) has developed rapidly in the past decade. In particular, ML has become widely used in the medical field, and it has helped in the diagnosis and treatment of cancer. Different algorithms of ML have different roles in diagnosis, treatment, and prognosis. This article reviews recent research, explains the application of different ML models in HCC, and provides suggestions for follow-up research.
Identifiants
pubmed: 37577233
doi: 10.14218/JCTH.2022.00077S
pii: JCTH.2022.00077S
pmc: PMC10412715
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
1184-1191Informations de copyright
© 2023 Authors.
Déclaration de conflit d'intérêts
The authors have no conflict of interests related to this publication.
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