Zhaoxi Pan

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About

Zhaoxi Pan is a researcher at the forefront of medical imaging and robotic surgery, whose work directly enhances the precision of modern surgical interventions. His primary research focus lies in the optimization of 3D reconstruction rendering methods for robot-assisted procedures, a critical area where real-time, high-fidelity visualization can dramatically improve surgical outcomes. Pan’s most cited work, “Comparison of medical image 3D reconstruction rendering methods for robot-assisted surgery” (2017), systematically evaluates different rendering techniques to identify those that best support intraoperative decision-making. With 13 citations, this study has become a foundational reference for engineers and clinicians seeking to balance computational efficiency with image clarity in robotic systems. By clarifying the trade-offs between various reconstruction algorithms, Pan has helped bridge the gap between raw medical imaging data and actionable, real-time visual guidance during surgery. His contributions are particularly valuable for advancing minimally invasive procedures, where accurate 3D models are essential for navigating complex anatomy. Through this focused research, Zhaoxi Pan continues to shape the technological backbone of next-generation surgical robotics.