右半结肠切除术是结肠癌最主要的手术方式之一。然而，该术式涉及诸多血管解剖变异，手术范围毗邻十二指肠、胰腺等重要脏器，且淋巴结转移常见，致使腹腔镜右半结肠切除术存在一定的技术门槛。近年来，随着深度学习算法、三维血管重建技术及高清荧光腹腔镜等技术的迭代发展，数字智能化在右半结肠微创切除手术中的应用场景已逐步落地，并在术中实时指引手术、提高根治性切除率、降低手术并发症、辅助围手术期管理等方面助力临床诊疗决策。本文拟从右半结肠血管重建、淋巴结示踪清扫及人工智能辅助术中决策等方面的最新进展，结合笔者团队的研究经验，阐述数字智能化在右半结肠癌微创治疗中的发展现状，并对该领域未来可能的发展方向提出展望。

Right hemicolectomy is the main surgical procedures for colon cancer. However, this procedure requires a relatively high level of surgical proficiency, as it involves vascular anatomical variations, a surgical field adjacent to vital organs such as the duodenum and pancreas, and the frequent need to manage lymph node metastasis. In recent years, with the development of deep learning algorithms, three-dimensional vascular reconstruction technology, and high-definition fluorescence laparoscopy, the application of digital intelligence in minimally invasive right hemicolectomy has been gradually implemented. This article aims to review the latest advances in right colon vascular reconstruction, real-time lymph node tracking and artificial intelligence-assisted intraoperative decision-making to elucidate the current status of digital intelligence in the minimally invasive treatment of right colon cancer, and also offer perspectives on its possible future directions.