Papers
7
Total Citations
62
H-Index
6
About
PK Chan is an orthopedic surgeon and researcher whose work sits at the forefront of robotic-assisted joint arthroplasty, with a particular focus on unicompartmental knee arthroplasty (UKA) and total knee arthroplasty (TKA). His research systematically examines how robotic surgical platforms can enhance precision, reduce alignment outliers, and improve patient outcomes compared to conventional techniques. Among his most significant contributions is a propensity score-matched analysis demonstrating superior radiological accuracy with robotic arm-assisted UKA, which has garnered 14 citations since 2023, alongside complementary work showing reduced edge loading and fewer alignment outliers in image-free robotic systems. Chan has also tackled practical clinical questions, including the learning curve associated with robotic UKA adoption and the broader utilization trends shaping surgical decision-making. His territory-wide study on robotic TKA in an Asian public healthcare context underscores his commitment to translating technological advances into real-world health system benefits, including reduced hospital stays. Notably, his work extends to complex revision scenarios, such as robotic-assisted conversion of hip arthrodesis to total hip arthroplasty. Collectively accumulating over 60 citations, Chan's body of work offers valuable evidence guiding surgeons navigating the evolving landscape of robotic orthopedic surgery.
Research Focus
Key Achievements
Top Papers
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