[Artificial intelligence accelerates bridging the gap in intelligent surgery through medical-engineering-mathematical integration].

The field of surgery is undergoing a historic paradigm shift from experience-based medicine towards precision and intelligence. However, the integration gap between medical science, engineering, and mathematical technologies severely constrains the depth and breadth of surgical intelligence. This article conducts an in-depth analysis of the critical barriers currently hindering medical-engineering-mathematical (MEM) integration within surgery. It systematically elucidates the pivotal driving role of artificial intelligence (AI) technologies particularly deep learning, computer vision, natural language processing, and multimodal fusion in bridging these gaps. By integrating international case studies and institutional practices in hepatobiliary and pancreatic surgery, including AI-assisted planning, real-time intraoperative navigation, and intelligent postoperative management, this work demonstrates how AI effectively bridges the MEM intelligent integration gap. Furthermore, it proposes the construction of an integrated MEM innovation ecosystem framed around "talent cultivation，a foundational data infrastructure，collaborative platforms，and ethical safeguards". The article concludes by envisioning the future landscape of an AI-empowered, intelligent surgical ecosystem. AI is emerging as the core engine propelling surgery across the MEM integration gap, thereby accelerating the field's entry into a new era of intelligence.