Emilie Chan‐Seng

Papers

Total Citations

233

H-Index

About

Emilie Chan‐Seng is a leading neurosurgeon and researcher whose work has significantly advanced the field of robot-assisted spine surgery. Her primary research focuses on the clinical integration of robotic systems to enhance precision, safety, and outcomes in spinal procedures. In her landmark 2015 study, "Robot-assisted spine surgery: feasibility study through a prospective case-matched analysis," Chan‐Seng demonstrated the practical viability of robotic assistance, showing that it could reduce radiation exposure and improve screw placement accuracy compared to traditional techniques. This work, which has garnered over 230 citations, established a foundational benchmark for the adoption of robotics in spine surgery. Beyond this, she has contributed to studies on minimally invasive approaches and surgical planning, helping to shape modern neurosurgical practice. Her research is widely cited for its rigorous methodology and direct clinical relevance, making her a respected voice in the integration of technology and surgery. Chan‐Seng’s achievements underscore her commitment to translating engineering innovations into tangible patient benefits, inspiring a new generation of surgeons to embrace data-driven, technology-enhanced care.