Ayakane Yamamoto
Papers
4
Total Citations
37
H-Index
3
About
Ayakane Yamamoto is an orthopedic researcher specializing in robotic-assisted total knee arthroplasty (TKA), with a particular focus on surgical precision, component alignment, and patient-reported outcome measurements. Working primarily through single-center cohort studies, Yamamoto has made meaningful contributions to the evolving debate surrounding conventional versus robotic-assisted surgical techniques in knee replacement surgery. Yamamoto's most cited work (16 citations) challenges assumptions about coronal alignment, demonstrating that alignment classification alone does not predict patient outcomes following robotic-assisted TKA — a nuanced finding with significant implications for surgical decision-making. Complementary research has shown that while robotic assistance measurably improves rotational accuracy between femoral and tibial components, this technical improvement does not automatically translate into superior patient-perceived joint function, as measured by the Forgotten Joint Score. Further investigations into kinematic alignment and joint balancing have enriched understanding of bicruciate-stabilized and bicruciate-retaining TKA approaches, revealing the limitations of imageless robotic systems in achieving targeted alignment goals. With a growing body of work accumulating over 35 citations in a short span, Yamamoto represents an emerging voice in evidence-based orthopedic surgery, contributing rigorous comparative data that helps surgeons and patients better understand the real-world trade-offs of robotic-assisted knee replacement.
Research Focus
Key Achievements
Top Papers
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