Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma

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Abstract

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.

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Feng, S., Wang, J., Wang, L., Qiu, Q., Chen, D., Su, H., … Lin, C. (2023, October 1). Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma. Journal of Clinical and Translational Hepatology. Xia and He Publishing Inc. https://doi.org/10.14218/JCTH.2022.00077S

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