Steve Guofang Shen

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University

Papers

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About

Steve Guofang Shen is a pioneering researcher at the intersection of surgical robotics, computer-assisted surgery, and craniomaxillofacial (CMF) medicine. His work has focused on developing and refining robotic and navigation-assisted systems to enhance the precision and safety of complex craniofacial and orthognathic procedures — areas where millimeter-level accuracy can be the difference between functional success and surgical complications. Shen's landmark 2015 paper introduced a novel 7-degree-of-freedom robotic arm integrated with his team's self-developed navigation platform, TBNAVIS-CMFS, establishing an early framework for robot-guided craniofacial surgery that has since garnered 22 citations. His 2020 error analysis of robot-assisted orthognathic surgery — equally well-cited — rigorously demonstrated the accuracy and feasibility of transferring virtual surgical plans into real operative settings, a critical validation step for clinical adoption. His more recent 2022 work advances the field further by addressing a longstanding challenge: incorporating force feedback and collaborative surgeon control into robotic osteotomy, making autonomous systems both safer and more responsive. Collectively, Shen's contributions represent a systematic effort to bridge computational planning with surgical execution, offering students and clinicians a compelling model for translational innovation in surgical technology.