原发性肝癌作为全球高发恶性肿瘤，其微创外科治疗需兼顾精准性与个体化，但传统诊疗模式在诊断效率、术前评估准确性及术中导航精度等方面存在局限。本文围绕人工智能在肝癌微创外科的应用展开，系统阐述其在原发性肝癌诊断、术前评估、术中操作及全身治疗中的具体应用场景，并分析当前技术局限与未来展望。研究表明，人工智能可通过数据驱动提升肝癌微创诊疗的精准度与个体化水平，为肝癌治疗提供新路径。​

Primary liver cancer is a highly prevalent malignant tumor worldwide. Its minimally invasive surgical treatment needs to balance precision and individualization, but the traditional diagnosis and treatment model has limitations in diagnostic efficiency, preoperative evaluation accuracy, and intraoperative navigation precision. This article focuses on the application of artificial intelligence (AI) in minimally invasive surgery for liver cancer, systematically expounding its specific application scenarios in the diagnosis of primary liver cancer, preoperative evaluation, intraoperative operation and systemic treatment. It also analyzes the current technical limitations and future prospects. Studies have shown that AI can improve the precision and individualization of minimally invasive diagnosis and treatment of liver cancer through data-driven approaches, providing a new path for liver cancer treatment.​