This analysis demonstrates how artificial intelligence improves surgical training quality in virtual surgery, suggesting broader applications.
The emergence of high-tech technologies such as artificial intelligence and virtual reality has become an important development direction for medical education and surgical training. The introduction of artificial intelligence (AI) has dramatically improved the intelligence and personalization of medical surgery. This paper will investigate the pivotal function of artificial intelligence within virtual surgical systems. Initially, the paper will provide an overview of virtual surgery, including its technological advancements. Subsequently, it will examine the implementation of AI in image recognition, surgical planning, haptic feedback, and customized training protocols. This paper will reveal AI systems' functional advantages and practical limitations through a comparative analysis of typical virtual surgery platforms such as Touch Surgery and FundamentalVR. The article will point out that AI-driven virtual surgery is developing in the direction of multimodal interaction, privacy protection and standardization. Studies have shown that AI technology can significantly improve the efficiency of medical training and the quality of simulated surgery. Still, it must also solve problems such as algorithm reliability and ethical norms. This article helps deepen the understanding of AI medical applications and provides a reference for developing related policies and technologies.
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Haoyuan Li (2025) studied this question.
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