Si Pan

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About

Si Pan is a pioneering researcher at the intersection of artificial intelligence and surgical robotics, with a primary focus on autonomous decision-making in vascular interventional procedures. His most impactful work, "Transferring Virtual Surgical Skills to Reality: AI Agents Mastering Surgical Decision-Making in Vascular Interventional Robotics" (2024, 13 citations), introduces a groundbreaking framework that bridges the simulation-to-reality gap for robotic guidewire navigation. By leveraging deep reinforcement learning, Pan has developed AI agents capable of autonomously performing complex surgical maneuvers—such as navigating tortuous vasculature—that were previously reliant on human expertise. This work directly addresses critical challenges in minimally invasive surgery, including reducing radiation exposure for clinicians and improving procedural precision. Pan’s contributions extend beyond algorithmic innovation; he has demonstrated successful transfer of virtual skills to physical robotic platforms, a milestone for clinical translation. His research is widely cited by groups working on surgical automation, haptic feedback, and reinforcement learning for medical robotics. With a citation trajectory that signals growing influence, Si Pan is establishing himself as a key figure in the next generation of intelligent surgical systems.