Mhs Cheung

Papers

1

Total Citations

8

H-Index

1

About

Dr. Mhs Cheung is an orthopedic researcher whose work centers on advancing surgical precision in joint replacement, particularly through robotic-assisted techniques. His most cited study, a 2019 prospective cohort investigation into the learning curve for robotic arm–assisted unicompartmental knee arthroplasty, has garnered 8 citations and provides critical insights into the adoption of this technology. This work highlights the balance between technological innovation and clinical proficiency, offering a roadmap for surgeons transitioning to robotic systems. Cheung’s contributions are notable for their focus on improving patient outcomes by minimizing surgical variability and enhancing implant accuracy. His research addresses a key challenge in orthopedics: how to integrate cutting-edge tools while maintaining safety and efficacy. By quantifying the learning curve, Cheung has helped establish benchmarks for training and competency, directly impacting surgical practice. His findings are particularly valuable for institutions adopting robotic platforms, as they underscore the importance of structured learning protocols. Through this work, Cheung demonstrates a commitment to evidence-based innovation, bridging the gap between engineering and clinical application in orthopedic surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve associated with robotic arm–assisted unicompartmental knee arthroplasty — A prospective cohort study
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago