Yuning Wang

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About

Yuning Wang is a leading orthopedic researcher whose work centers on advancing joint replacement surgery through comparative effectiveness and robotic-assisted techniques. Her most-cited study, "Robot-assisted vs. conventional unicompartmental knee arthroplasty" (2018, 40 citations), provides critical evidence on the precision and outcomes of robotic systems in partial knee replacements. This work has helped shape clinical decision-making, demonstrating that robotic assistance can improve implant positioning and reduce complications compared to traditional methods. Wang’s research addresses a key gap in orthopedic literature by rigorously comparing surgical approaches, offering data that supports the adoption of technology in routine practice. Her findings have been widely cited by surgeons and engineers developing next-generation surgical tools, highlighting her role as a bridge between clinical outcomes and technological innovation. With a focus on patient-centered metrics and surgical reproducibility, Wang continues to influence how knee arthroplasty is performed, making her a respected voice in the field of orthopedic surgery and medical robotics.