Ashit Shah
Papers
2
Total Citations
23
H-Index
2
About
Dr. Ashit Shah is a leading orthopedic surgeon and researcher specializing in robotic-assisted total knee arthroplasty (TKA) and advanced preoperative imaging. His work focuses on enhancing surgical precision and patient outcomes through the integration of three-dimensional (3D) CT scan templating and fully automated robotic systems. In his highly cited 2022 study, Dr. Shah demonstrated that pre-operative 3D CT templating significantly improves the accuracy of implant size prediction and alignment in robot-assisted TKA, a finding that has garnered 16 citations and influenced modern surgical planning protocols. His 2023 evaluation of a fully automated active robotic system further confirmed its safety and efficacy, contributing to the growing evidence base for autonomous surgical technologies. Dr. Shah’s contributions are pivotal in advancing the field of robotic orthopedics, offering surgeons reliable tools to reduce variability and enhance reproducibility in joint replacement. His work not only underscores the potential of robotics to transform arthroplasty but also provides a roadmap for integrating digital templating into routine clinical practice.
Research Focus
Key Achievements
Top Papers
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