肝细胞癌（HCC）是全球范围内高发且致死率较高的恶性肿瘤之一，对人类健康构成重大威胁。近年来，人工智能（AI）和多模态影像技术在肝癌诊断与治疗中的应用取得显著进展。AI技术，特别是深度学习和传统机器学习方法，应用于影像大数据分析，在肝癌的早期筛查、分期及个性化治疗等方面表现出较高的诊断精确性和治疗决策支持能力。同时，多模态影像技术（如CT、MRI、PET-CT等）在术前评估、手术规划和术中导航方面提高了诊断效率和手术安全性。本文综述了基于AI的多模态影像技术在HCC诊疗中的最新进展，分析了其在临床实践中的潜在价值及面临的挑战。未来，随着AI模型的进一步优化和MDT深入，AI与多模态影像技术将为HCC患者提供更为精准的治疗方案和更好的预后评估。

Hepatocellular carcinoma (HCC) is one of the malignant tumors with high incidence and mortality rates worldwide, which poses severe threat to human health. In recent years, the application of artificial intelligence (AI) and multimodal imaging technology in the diagnosis and treatment of HCC has made remarkable progress. AI technologies, especially deep learning and traditional machine learning methods, have been applied in imaging big data analysis, which show high diagnostic accuracy and treatment decision support capability in early screening, staging and personalized treatment of HCC. Meantime, multimodal imaging technologies (such as CT, MRI, PET-CT, etc.) can improve the diagnostic efficiency and surgical safety in preoperative evaluation, surgical planning and intraoperative navigation. In this article, the latest progress in AI-based multimodal imaging in the diagnosis and treatment of HCC was reviewed, and its potential value and challenges in clinical practice were illustrated. In the future, with further optimization of AI model and the deepening of MDT, AI and multimodal imaging technology are expected to provide more precise treatment regimens and better prognostic evaluation for HCC patients.