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Chinese Journal of Operative Procedures of General Surgery(Electronic Edition) ›› 2026, Vol. 20 ›› Issue (03): 205-209. doi: 10.3877/cma.j.issn.1674-3946.2026.03.001

• Editorial •    

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 Online:2026-06-26 Published:2026-06-03
  • Contact: 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)

Abstract:

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.

Key words: Pancreatic Neoplasms, Digital Intelligence, Minimally Invasive Surgery

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