Mei Lin Tay

University of Auckland, Auckland City Hospital

Papers

7

Total Citations

167

H-Index

6

About

Mei Lin Tay is an orthopedic surgery researcher specializing in robotic-assisted joint arthroplasty, with a particular focus on total knee arthroplasty (TKA) and the integration of emerging surgical technologies into clinical practice. Her work has made significant contributions to understanding the learning curves associated with robotic systems, demonstrating that platforms such as the ROSA and Stryker Mako robotic-arm systems can be adopted with minimal disruption — typically requiring between 11 and 16 cases to achieve proficiency, with modest increases in operative time. These findings, which have collectively garnered over 160 citations, provide invaluable guidance for surgical teams transitioning to robotic-assisted procedures. Beyond implementation science, Tay has advanced the debate surrounding alignment philosophy in knee replacement surgery. Her John N. Insall Award-winning randomized controlled trial comparing functional and mechanical alignment represents a landmark contribution to the field, challenging long-standing surgical conventions and offering evidence-based alternatives that may improve patient satisfaction. Her prospective randomized work comparing alignment techniques using robotic platforms further demonstrates her commitment to rigorous methodology. Tay's research equips surgeons and institutions with the evidence needed to confidently adopt advanced technologies while optimizing patient outcomes.

Research Focus

Key Achievements

6
H-Index
7
Papers
167
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Introduction of ROSA robotic‐arm system for total knee arthroplasty is associated with a minimal learning curve for operative time
49 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Auckland, Auckland City Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago