Diarmuid Murphy
Papers
2
Total Citations
13
H-Index
2
About
Diarmuid Murphy’s research sits at the intersection of orthopaedic biomechanics, statistical shape modelling, and surgical robotics, with a focus on improving implant design for Asian populations. His major contributions lie in developing statistical atlases of the humerus, which capture morphological variations across populations to guide the creation of anatomically consistent implants and associated robotic tools. His most-cited work, “Statistical atlas-based morphological variation analysis of the Asian humerus: Towards consistent allometric implant positioning” (2014, 9 citations), demonstrates how population-specific shape analysis can address the mismatch between standard off-the-shelf implants and Asian skeletal anatomy. In a related study (2013, 4 citations), he extended this approach to inform the design of intramedullary robotics tailored for Asian patients. Though his citation counts are modest, his work is notable for its early, targeted application of statistical shape modelling to a pressing clinical need—improving implant fit and surgical precision in under-served populations. Murphy’s research offers a compelling model for how data-driven anatomy can directly influence medical device design and robotic surgery.
Research Focus
Key Achievements
Top Papers
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