Abstract:Pancreatic surgery remains one of the most challenging fields in general surgery due to its complex anatomy and high risk of complications. In recent years, the integration of digital intelligent technologies-such as three-dimensional (3D) reconstruction, fluorescence navigation, augmented/mixed reality (AR/MR), and artificial intelligence (AI)-has provided new strategies for achieving precision, safety, and intelligence in pancreatic surgery. This review summarizes the innovations and clinical applications of these technologies throughout the full perioperative process, including preoperative planning, intraoperative navigation, and postoperative monitoring. Preoperatively, the deep learning-based nnU-Net framework enables high-precision 3D reconstruction of peripancreatic vessels and pancreaticobiliary ducts for individualized surgical planning. Intraoperatively, multimodal image fusion combining indocyanine green fluorescence imaging with AR/MR navigation allows real-time visualization and spatial localization of key anatomical structures, enhancing surgical accuracy and safety. Postoperatively, AI-driven models integrated with wearable sensors and multimodal data support intelligent risk prediction and early intervention for complications. The systematic application of digital intelligence is reshaping the paradigm of pancreatic surgery, driving the transition from experience-based to data-driven and from surgeon-dependent to intelligent decision-making. With continuous algorithmic refinement and accumulation of clinical evidence, digital empowerment will further advance pancreatic surgery toward personalization, precision, and intelligence.