1.The application of artificial intelligence in enhancing the safety of pancreatic surgeries
Muxing LI ; Runsong DENG ; Chunhui YUAN
Chinese Journal of Surgery 2025;63(8):755-759
Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical characteristics. Establishing a surgical safety system is crucial for improving patients' prognosis. In recent years, artificial intelligence(AI) has developed rapidly, showing great potential in preoperative diagnosis, surgical planning, intraoperative navigation, postoperative management, and training of young surgeons. By analyzing preoperative imaging and biopsy results, AI can assist in evaluating the nature of the lesion and its relationship with surrounding tissues, which are critical for the surgical treatment planning; during the operation, it can achieve real-time recognition of anatomical structures and assist in intraoperative decision-making; in postoperative management, AI can provide detailed management based on individual characteristics, facilitating rapid recovery. Additionally, the combination of AI and virtual reality can assist in the training of young surgeons. However, the application of AI still faces issues such as data quality, algorithmic universality, and ethical concerns, calling for standardized data annotation and multi-center collaboration and supervision.
2.The application of artificial intelligence in enhancing the safety of pancreatic surgeries
Muxing LI ; Runsong DENG ; Chunhui YUAN
Chinese Journal of Surgery 2025;63(8):755-759
Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical characteristics. Establishing a surgical safety system is crucial for improving patients' prognosis. In recent years, artificial intelligence(AI) has developed rapidly, showing great potential in preoperative diagnosis, surgical planning, intraoperative navigation, postoperative management, and training of young surgeons. By analyzing preoperative imaging and biopsy results, AI can assist in evaluating the nature of the lesion and its relationship with surrounding tissues, which are critical for the surgical treatment planning; during the operation, it can achieve real-time recognition of anatomical structures and assist in intraoperative decision-making; in postoperative management, AI can provide detailed management based on individual characteristics, facilitating rapid recovery. Additionally, the combination of AI and virtual reality can assist in the training of young surgeons. However, the application of AI still faces issues such as data quality, algorithmic universality, and ethical concerns, calling for standardized data annotation and multi-center collaboration and supervision.
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