Papers
1
Total Citations
19
H-Index
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About
Alvin Yu is a leading researcher in orthopaedic biomechanics and surgical robotics, with a particular focus on knee arthroplasty outcomes. His most-cited work, "Reliability of Intraoperative Knee Range of Motion Measurements by Goniometer Compared with Robot-Assisted Arthroplasty" (2018, 19 citations), addresses a critical gap in surgical precision. Yu demonstrated that traditional goniometer measurements are significantly less reliable than robotic systems for assessing knee range of motion during surgery, directly impacting prognosis and surgical decision-making for patients with medial osteoarthritis. This contribution has helped advance the integration of robotic assistance in orthopaedic procedures, improving the accuracy of intraoperative assessments. Beyond this landmark study, Yu’s research explores how quantitative motion data can enhance patient-specific surgical planning and rehabilitation protocols. His work underscores the importance of objective measurement tools in orthopaedics, bridging engineering and clinical practice. With a growing citation record, Yu is recognized for bringing data-driven rigor to knee surgery, influencing both surgical technique and postoperative care standards. His findings continue to inform the development of more reliable, robot-assisted arthroplasty systems.
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