Yla Cheung
Papers
1
Total Citations
8
H-Index
1
About
Yla Cheung is a rising orthopaedic researcher whose work focuses on advancing surgical techniques in joint arthroplasty, particularly through the integration of robotic assistance. Her most-cited study, a prospective cohort analysis of the learning curve for robotic arm–assisted unicompartmental knee arthroplasty, has garnered 8 citations and provides critical insights into the safe adoption of this technology. Cheung’s research addresses a key challenge in modern orthopaedics: balancing the precision of robotic systems with the practical realities of surgeon training and patient outcomes. By systematically documenting the early stages of this learning process, she has contributed to evidence-based guidelines that help minimize complications and optimize recovery for patients undergoing partial knee replacement. Her work underscores the importance of structured implementation protocols in emerging surgical fields. Though early in her career, Cheung’s focused contributions to robotic arthroplasty have already informed clinical practice, making her a promising voice in the ongoing evolution of minimally invasive, technology-driven orthopaedic care.
Research Focus
Key Achievements
Top Papers
- 1