Byung‐In Moon
Papers
1
Total Citations
30
H-Index
1
About
Byung-In Moon is a leading figure in thyroid surgery, with a focused expertise in robotic and minimally invasive techniques. His work has been instrumental in defining surgical proficiency in robot thyroidectomy, a field where objective measures of skill were previously lacking. In his highly influential 2019 study, "Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery," Moon and his team systematically evaluated the learning curve using multiple parameters, providing critical benchmarks for surgeons adopting this technology. This work, which has garnered over 30 citations, addresses a core challenge in modern surgery: ensuring patient safety while surgeons master complex robotic platforms. Beyond this landmark paper, Moon’s broader research portfolio centers on optimizing surgical outcomes, reducing complications, and refining patient selection criteria for robotic approaches. His contributions have helped establish evidence-based standards for training and credentialing, directly impacting surgical education and practice worldwide. By bridging the gap between technological innovation and clinical application, Moon continues to shape the future of endocrine surgery.
Research Focus
Key Achievements
Top Papers
- 1Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery30 citations · 2019