Yoshiyuki Kagiyama

Papers

Total Citations

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About

Yoshiyuki Kagiyama is a leading researcher in computer-assisted orthopedic surgery, with a primary focus on automated planning for total hip arthroplasty. His work bridges medical imaging, statistical shape modeling, and surgical robotics to improve implant placement accuracy. Kagiyama's most-cited study, "Expertise Modeling for Automated Planning of Acetabular Cup in Total Hip Arthroplasty Using Combined Bone and Implant Statistical Atlases" (2009, 12 citations), introduced a novel framework that integrates statistical atlases of both pelvic bone morphology and implant geometry. This approach enables the automated generation of patient-specific cup placement plans that replicate expert surgical strategies, reducing variability and potential complications. By modeling surgical expertise through data-driven methods, Kagiyama contributed foundational techniques for personalized preoperative planning, directly impacting the precision of joint replacement surgeries. His work has been influential in the development of intelligent surgical systems, demonstrating how computational models can enhance clinical outcomes. Though his citation count is modest, Kagiyama's research represents a critical step toward automating complex surgical decisions, making him a notable figure in the field of medical image computing and orthopedic biomechanics.