The application of artificial intelligence and individualization in minimally invasive surgery for hepatocellular carcinoma

doi:10.3877/cma.j.issn.1674-3946.2026.04.003

Abstract

Abstract:

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.

Key words: Primary Liver Cancer, Artificial Intelligence, Minimally Invasive Surgery, Individualized Treatment

Xin Wang, Long Yan, Chaoliu Dai. The application of artificial intelligence and individualization in minimally invasive surgery for hepatocellular carcinoma[J]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2026, 20(04): 315-318.

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URL: https://zhpwkssxzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.1674-3946.2026.04.003

https://zhpwkssxzz.cma-cmc.com.cn/EN/Y2026/V20/I04/315

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