Geoffrey Murphy
Papers
2
Total Citations
55
H-Index
2
About
Geoffrey Murphy’s research centers on advancing total knee arthroplasty (TKA) through robotic-assisted technologies and precision alignment philosophies. His major contributions lie in comparing robotic platforms—specifically image-based (MAKO) and imageless (OMNIbot) systems—to optimize component positioning and limb alignment. His 2023 study, cited 30 times, demonstrates how quantified gap-balancing techniques affect surgical outcomes, offering critical insights for surgeons adopting functional alignment approaches. Additionally, his 2021 review of the OMNIBot platform, with 25 citations, provides a foundational guide to its principles and clinical applications. Murphy’s work directly addresses the practical challenges of robotic TKA, bridging the gap between surgical technique and technological innovation. His findings help refine alignment strategies, reduce variability, and improve patient outcomes, making his research highly relevant for orthopaedic surgeons and biomedical engineers. With a growing citation impact, Murphy is establishing himself as a key voice in the evolution of robotic arthroplasty, particularly in evaluating how different robotic tools influence surgical precision and reproducibility.
Research Focus
Key Achievements
Top Papers
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- 2