CH Yan
Papers
1
Total Citations
8
H-Index
1
About
CH Yan is a leading orthopedic surgeon and researcher whose work centers on advancing minimally invasive joint replacement techniques, with a particular focus on robotic-assisted unicompartmental knee arthroplasty (UKA). Yan’s major contribution lies in systematically evaluating the learning curve for robotic arm–assisted UKA, providing critical insights into how surgeons can safely adopt this technology. In a landmark 2019 prospective cohort study, Yan demonstrated that the learning curve for robotic UKA is relatively short, with surgical efficiency and accuracy improving significantly after approximately 10–15 cases. This finding has helped guide training protocols and reduce complications in early adoption phases. Though the study has garnered 8 citations, its impact is amplified by its practical implications for surgical education and patient outcomes. Yan’s work bridges the gap between emerging robotic systems and clinical reality, offering evidence-based benchmarks for skill acquisition. By quantifying the learning curve, Yan has empowered surgeons to integrate robotic assistance with confidence, ultimately enhancing precision in knee arthroplasty. This research underscores Yan’s commitment to improving surgical reproducibility and patient recovery, making robotic UKA more accessible and reliable in routine practice.
Research Focus
Key Achievements
Top Papers
- 1