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中华普外科手术学杂志(电子版) ›› 2026, Vol. 20 ›› Issue (03) : 205 -209. doi: 10.3877/cma.j.issn.1674-3946.2026.03.001

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数字智能化在胰腺癌微创外科应用的现状与展望
刘光年, 杨尹默()   
  1. 100034 北京,北京大学第一医院肝胆胰外科
  • 收稿日期:2026-02-25 出版日期:2026-06-26
  • 通信作者: 杨尹默

Current status and future perspectives of digital intelligence in minimally invasive surgery for pancreatic cancer

Guangnian Liu, Yinmo Yang()   

  1. Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, Beijing 100034, China
  • Received:2026-02-25 Published:2026-06-26
  • Corresponding author: Yinmo Yang
  • Supported by:
    National Natural Science Foundation of China (NSFC) General Program(82571996); National Natural Science Foundation of China (NSFC) Young Scientists Fund (Category C)(82503701)
引用本文:

刘光年, 杨尹默. 数字智能化在胰腺癌微创外科应用的现状与展望[J/OL]. 中华普外科手术学杂志(电子版), 2026, 20(03): 205-209.

Guangnian Liu, Yinmo Yang. Current status and future perspectives of digital intelligence in minimally invasive surgery for pancreatic cancer[J/OL]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2026, 20(03): 205-209.

数字智能化诊疗是将数字医学、大数据和人工智能深度融合形成的一门新型诊疗技术。数字智能化在胰腺微创外科领域已实现早期诊断与鉴别诊断、术前可切除性评估及术式规划、术中导航与出血风险预测、术后并发症管理的全流程赋能。以腹腔镜及机器人辅助手术为代表的胰腺癌微创外科依赖视觉信息与数字化信号输入输出,使其与数字智能化呈“天然共生”关系,数字智能推动胰腺微创外科从经验驱动迈向数据驱动,成为提升手术精准性、安全性与可复制性的关键引擎。未来,多中心标准化研究与可解释性人工智能的发展,将进一步推动胰腺微创外科的数字智能化转型。本文系统综述了数字智能化在胰腺癌微创外科中的发展历程、临床应用、关键挑战与未来方向。

Digital intelligent diagnosis and treatment integrates digital medicine, big data, and artificial intelligence into a novel high-technology paradigm for healthcare delivery. In minimally invasive pancreatic surgery, digital intelligence has enabled end-to-end support across the perioperative pathway, including early detection and differential diagnosis, preoperative assessment of resectability and procedure planning, intraoperative navigation and bleeding-risk prediction, and postoperative complication management. Digital intelligence and minimally invasive surgery are “natural symbionts”: by leveraging inherently digital signals generated during laparoscopic and robotic procedures, Digital intelligence is shifting pancreatic minimally invasive surgery from experience-driven practice toward data-driven decision-making, becoming a key engine for improving surgical precision, safety, and reproducibility. Looking ahead, advances in multicenter standardized research and explainable AI will further accelerate the digital-intelligent transformation of minimally invasive pancreatic surgery. This review systematically summarizes the developmental trajectory, representative clinical applications, key challenges, and future directions of digital intelligence in minimally invasive pancreatic cancer surgery.

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