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.

中文翻译：

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肝细胞癌机器学习的现状和分析。

肝细胞癌（HCC）是一种常见的肿瘤。尽管HCC的诊断和治疗取得了很大进展，但总体预后仍然较差。作为人工智能的核心组成部分，机器学习（ML）在过去十年中发展迅速。特别是，机器学习在医疗领域得到了广泛的应用，有助于癌症的诊断和治疗。不同的机器学习算法在诊断、治疗和预后中具有不同的作用。本文回顾了最近的研究，解释了不同机器学习模型在 HCC 中的应用，并为后续研究提供建议。