Int J Stomatol

Int J Stomatol ›› 2026, Vol. 53 ›› Issue (5): 647-656.doi: 10.7518/gjkq.2026604

• Digital Oral Medicine Column • Previous Articles    

Artificial intelligence empowering robotic surgery: current status and challenges

Ruopu Wang(),Zhiyong Guo,Yufei Hua,Zhongkai Ma,Guiquan Zhu,Chunjie Li()   

  1. State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
  • Received:2025-04-29 Revised:2026-01-19 Online:2026-09-01 Published:2026-08-28
  • Contact: Chunjie Li E-mail:502619537@qq.com;lichunjie@scu.edu.cn
  • Supported by:
    Natural Science Foundation of Sichuan Province(2025ZNSFSC0645);Medical Science and Technology Project of Health Commission of Sichuan Province(24CXTD07);Interdisciplinary Innovation Project of West China Hospital of Stomatology, Sichuan University(RD-03-202309);Postdoctoral Fellowship Program of China(GZC-20231787)

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Abstract:

Surgical robots have excellent operability and stability. Robot-assisted surgery (RAS) enhances the precision and minimally invasive nature of surgical procedures, which is the “third technological revolution” in surgery. In recent years, artificial intelligence (AI) technology has developed rapidly, and its application in robotic surgery is a hot topic, which is expected to enhance the efficiency and safety of RAS. This article summarizes the current application status of AI in robot-assisted surgery and systematically analyzes the important roles of predominant surgical robot systems and AI models in intraoperative decision support, anatomical structure identification, surgical skill evaluation, and autonomous surgery. Enhancing robot-assisted surgery with AI still faces numerous challenges, such as the need for improved stability and performance of surgical robotic systems, and determination of infringement liability. As interdisciplinary cooperation intensifies, data security is ensured, and ethical frameworks are enhanced, the partnership between AI and surgeons will become a pivotal force in promo-ting surgical practices into a new era of digitization.

Key words: artificial intelligence, robotic surgery, automation, deep learning

CLC Number: 

  • TP242.6

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