Nam Sun Paik

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About

Nam Sun Paik is a leading figure in thyroid surgery, with a particular focus on advancing robotic techniques to improve patient outcomes. His research centers on surgical proficiency, operative safety, and the refinement of minimally invasive approaches for thyroid disease. Paik’s most impactful work, “Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery” (2019), has garnered 30 citations, establishing a critical framework for understanding how surgeons acquire expertise in robotic procedures. In this study, he systematically evaluated multiple metrics to define the learning curve, addressing a key gap in the field—the lack of a standardized method for measuring surgical proficiency. By demonstrating that no single ideal measure exists, Paik’s work has guided training programs and helped set benchmarks for safe practice. His contributions are particularly valuable for surgeons transitioning to robotic thyroidectomy, as they provide evidence-based insights into the volume of cases needed to achieve competency. Through this research, Paik has directly influenced surgical education and quality assurance, making him a respected voice in the evolution of robotic endocrine surgery.