Xinguang Wang
Papers
1
Total Citations
17
H-Index
1
About
Xinguang Wang is a leading researcher in orthopedic surgery, with a primary focus on advancing total knee arthroplasty (TKA) through robotic-assisted technologies. His work critically evaluates the precision and clinical efficacy of different robotic systems, directly addressing the question of how cutting modes—such as saw-based versus jig-guided—impact surgical outcomes. In his most cited study (2024, 17 citations), Wang conducted a rigorous comparison between a CT-based, saw cutting robotic system (MAKO) and a CT-free, jig-guided robotic system (ROSA). This research provides essential, evidence-based guidance for surgeons selecting robotic platforms, demonstrating that the choice of system can significantly influence alignment accuracy and early clinical results. By systematically analyzing these two leading technologies, Wang has made a substantial contribution to the field, helping to refine surgical protocols and improve patient outcomes in robotic knee replacement. His work is highly relevant for clinicians and researchers seeking to understand the practical advantages and limitations of current robotic systems in orthopedics.
Research Focus
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Top Papers
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