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Surgical Research and New Technique ›› 2025, Vol. 14 ›› Issue (4): 299-306.doi: 10.3969/j.issn.2095-378X.2025.04.001

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Application of new quality productive forces in surgical research and emerging technologies

LI Chun1, BAI Chunxue1,2,3   

  1. 1. Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China;
    2. Shanghai Respiratory Research Institute, Shanghai 200032, China;
    3. Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China
  • Received:2025-08-29 Online:2025-12-28 Published:2026-01-02

Abstract: Artificial intelligence (AI) and generative pre-trained transformer (GPT) have shown unique value in the field of surgery. Through deep learning, AI can quickly process massive medical data, providing reliable support for image recognition, disease prediction, and surgical plan optimization. For example, AI can integrate patient genomic information, lifestyle habits, and medical history characteristics to tailor diagnosis and treatment recommendations. GPT can also simulate clinical decision-making mechanisms to assist in treatment planning for complex cases. The application of internet of things (IoT) technology in the field of surgery can enable efficient sharing and collaborative cooperation of cross-regional medical resources. By collecting and transmitting physiological indicator data in real time, physicians can fully control patient's condition and achieve precise surgical control and remote collaboration. During remote surgery, IoT can instantly transmit surgical field details to remote experts, bringing high-quality medical services to remote areas. Metaverse technology uses virtual reality (VR) and augmented reality (AR) to revolutionize traditional surgical training methods. By constructing a patient's organ model through 3D reconstruction technology, physicians can intuitively plan surgical plans. Immersive virtual operating rooms provide a safe, hands-on environment for medical students and trainee physicians. This innovative training system not only significantly improves teaching efficiency, but also shortens the clinical skills training cycle. With the continuous progress and deep integration of AI, IoT, and metaverse technologies, surgical diagnosis and treatment will enter a more intelligent development stage. The formulation of personalized medical plans, the optimal allocation of resources, and the high-simulation surgical training system will become a reality. The collaborative application of these innovative achievements will comprehensively leverage surgical diagnosis and treatment and service capabilities.

Key words: Artificial intelligence, Generative Pre-trained Transformer, Natural language processing, Internet of things, Virtual reality, Augmented reality, Surgery

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