Xizhuang Bai
Papers
2
Total Citations
24
H-Index
2
About
Xizhuang Bai is an emerging leader in orthopaedic surgery, specializing in the advancement of robotic-assisted total knee arthroplasty (TKA). His research focuses on evaluating the precision, learning curve, and predictive accuracy of novel surgical robotic systems, particularly the Chinese-developed HURWA platform. Bai’s major contribution lies in providing the first systematic analysis of how surgeons adapt to this new technology, demonstrating that with experience, operative times and bone-cutting accuracy significantly improve. His most cited work, a 2023 study on the learning curve of HURWA-assisted TKA, has garnered 22 citations and established a benchmark for integrating Chinese robotic systems into clinical practice. In a subsequent 2024 prospective study, Bai further validated the system’s ability to preoperatively predict bone cuts and implant sizing with high accuracy, underscoring its potential to enhance surgical planning and outcomes. Through these investigations, Bai is helping to shape the evidence base for robotic arthroplasty in China, offering critical insights for surgeons and researchers aiming to optimize patient outcomes in joint replacement surgery.
Research Focus
Key Achievements
Top Papers
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