Keng Jin Darren Tay
Papers
1
Total Citations
262
H-Index
1
About
Keng Jin Darren Tay is a leading orthopaedic surgeon and researcher whose work centers on advancing total knee arthroplasty (TKA) through precision, technology, and evidence-based outcomes. His most influential contribution is a landmark prospective randomised study demonstrating that robot-assisted TKA significantly improves the accuracy of restoring the joint line and mechanical axis compared to conventional techniques. This 2013 paper, with over 260 citations, has helped shape modern surgical practice by providing robust clinical evidence for the benefits of robotic assistance in knee replacement surgery. Beyond this pivotal work, Tay’s research explores surgical navigation, implant alignment, and functional recovery, aiming to enhance long-term patient outcomes and reduce revision rates. His findings are widely cited in orthopaedic literature and have influenced both surgical guidelines and the adoption of robotic systems in joint arthroplasty. Through rigorous clinical trials and a focus on measurable improvements in alignment and joint mechanics, Tay has established himself as a key figure in the integration of technology into orthopaedic surgery, offering students and researchers a clear example of how high-quality evidence can drive meaningful change in surgical care.
Research Focus
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Top Papers
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