**1. Introduction**

With decreasing mortality from infectious diseases and increasing cure rates for congenital malformations, pediatric tumors have become an important disease factor endangering the health of children, and their incidence continues to rise [1, 2]. Surgical resection is the most effective and important treatment for the eradication of pediatric solid tumors, especially malignant solid tumors. However, pediatric tumors are often diverse, complex in location, and large in size compared to tumors in the young body. Malignant tumors are highly malignant and grow rapidly. Moreover, compared with that of adults, the organ structure of pediatric patients is slender and has poor tolerance, thus the space for surgical treatment is limited. Therefore, there is a greater need for high-technology tools that help perform precise and meticulous surgical procedures [3].

Technological innovation and interdisciplinary integration have brought surgery to a brand new stage, namely, the era of precision surgery. Precision surgery is a whole process of surgery-centered surgical practices, covering all stages from disease assessment, clinical decision-making, surgical planning, and surgical resection to perioperative management. Computer-assisted surgery (CAS), a typical representative of medical-industrial integration, is a new technology based on artificial intelligence and machine learning that can process and learn large amounts of medical data and information at high speed and then provide technical support to surgeons through a virtual surgical environment to assist in the realization of precision surgery [4].
