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About

Xiaojun Chen is a pioneering surgical researcher specializing in robotic navigation systems and craniofacial surgery, with a particular focus on the treatment of hemifacial microsomia through distraction osteogenesis. Chen's most significant contributions center on developing and validating AI-assisted robotic navigation technologies to enhance the precision and safety of complex mandibular surgical procedures — a field where millimeter-level accuracy can profoundly impact patient outcomes. Chen's landmark body of work systematically advances this technology through a rigorous progression of evidence: beginning with animal model experiments using New Zealand white rabbits, advancing to controlled model surgical experiments, and ultimately demonstrating clinical feasibility in human patients. This methodical translational approach underscores a commitment to both innovation and patient safety. Each of Chen's three most prominent publications has garnered 9 citations, reflecting growing interest from the surgical and biomedical engineering communities in robotics-assisted craniofacial reconstruction. For students and researchers in oral and maxillofacial surgery, biomedical engineering, or surgical robotics, Chen's work represents a compelling intersection of artificial intelligence, electromagnetic navigation, and reconstructive surgery — offering a roadmap for how emerging technologies can be responsibly integrated into challenging clinical practice.