Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma

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 w...

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Bibliographic Details
Published in:Journal of clinical and translational hepatology 2023-10, Vol.11 (5), p.1184-1191
Main Authors: Feng, Sijia, Wang, Jianhua, Wang, Liheng, Qiu, Qixuan, Chen, Dongdong, Su, Huo, Li, Xiaoli, Xiao, Yao, Lin, Chiayen
Format: Article
Language:English
Subjects:
Review
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Summary: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.
ISSN:2225-0719
2310-8819
DOI:10.14218/JCTH.2022.00077S