Abstract:Hepatocellular carcinoma (HCC) is one of the most highly prevalent and poorly prognosed malignant tumors worldwide, and surgical intervention remains the core treatment method. The conventional diagnositic and therapeutic approaches faces numerous challenges in precise assessment, individualized decision-making, and postoperative management. In recent years, artificial intelligence (AI) technology, especially the rapid development of deep learning and radiomics, has introduced systematic changes to the entire process of HCC surgical diagnosis and treatment. This article systematically reviews the latest research advancements of AI in the field of HCC surgery, clarifying its application value in enhancing diagnostic precise, informing surgical treatment decision-making and planning, formulating comprehensive treatment strategy, and improving postoperative management and prognosis prediction. Studies have shown that AI can effectively improve lesion recognition accuracy, optimize surgical strategies, reduce perioperative risks, and facilitate individualized follow-up and precise postoperative intervention. Currently, the related applications in clinical practice remain limited due to insufficient data standardization, limited external validation, and weak clinical interpretability. However, its potential to promote the development of HCC surgical diagnosis and treatment towards intelligence, precision, and individualization is enormous. In the future, further integration and standardized application of AI in liver cancer surgery should be promoted through multi-center collaboration, highquality data collaboration, and breakthroughs in interpretable AI technology, providing strong support for improving patient survival rates and quality of life.
