Ravi Vinod Shah
Columbia Asia, Wockhardt Hospitals, Apollo Hospitals, Asia Foundation
Papers
4
Total Citations
20
H-Index
3
About
Ravi Vinod Shah is a rising orthopedic researcher focused on advancing robotic-assisted total knee arthroplasty (TKA). His work centers on optimizing surgical precision, minimizing soft tissue trauma, and improving patient outcomes through technology-driven approaches. Shah’s major contributions include demonstrating that preoperative CT scans and planning software can significantly reduce the need for soft tissue release during TKA, a finding from his retrospective review of 100 cases. He has also pioneered research on functionally aligned robotic TKA, specifically evaluating femur component external rotation to enhance individualized surgical strategies and reduce patient dissatisfaction. With his most-cited paper, “Analysis of robot-specific operative time and surgical team anxiety level and its effect on alignment during robot-assisted TKA” (11 citations), Shah explores the human factors of robotic surgery, linking team dynamics to alignment outcomes. His cumulative work, though early in his career, has already garnered attention, with papers published in 2024. Shah’s research bridges engineering and clinical practice, offering actionable insights for surgeons adopting robotic platforms. His focus on functional alignment and soft tissue preservation positions him as a key voice in the next generation of joint replacement innovation.
Research Focus
Key Achievements
Top Papers
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