Mun Chun Lai

Papers

Total Citations

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About

Mun Chun Lai is a pioneering figure in the rapidly evolving field of robotic-assisted spinal surgery. His research is centrally focused on overcoming the technical barriers to adopting advanced surgical technologies, with a particular emphasis on improving precision, safety, and patient outcomes. Lai’s most impactful work, "Overcoming the Learning Curve in Robot-Assisted Spinal Surgery—How Does It Compare to O-Arm Navigation?" (2024, 8 citations), provides a critical analysis of the adoption curve for the Mazor X Stealth Edition, offering surgeons a roadmap for integrating robotics into their practice. Building on this, his 2025 study, "Robotic Spine Surgery - Surgical technique and nuances for improving safety" (3 citations), delves into the specific "CT-Fluoro merge" and "Scan-and-Plan" techniques, demonstrating how these methods minimize risks associated with traditional pedicle screw placement. By quantifying the learning curve and detailing nuanced safety protocols, Lai is not just advancing a technology; he is shaping the future standard of care in spinal surgery. His work is essential reading for any surgeon or researcher looking to navigate the transition from conventional navigation to a fully robotic surgical workflow.