Papers
4
Total Citations
41
H-Index
4
About
Xiao Geng is a leading researcher in orthopaedic surgery, specializing in the precision and clinical outcomes of robotic-assisted joint arthroplasty. His work focuses on comparing different robotic systems and assistive technologies for total knee and hip arthroplasty, aiming to improve prosthetic alignment and patient recovery. Geng’s major contributions include landmark multicenter randomized controlled trials that demonstrate the superiority of robotic-arm-assisted total knee arthroplasty over conventional methods, showing improved radiographic alignment and early clinical outcomes. His 2024 study on CT-based versus CT-free robotic systems, with 17 citations, provides critical insights into the accuracy of different cutting modes. Another highly cited paper (12 citations) confirms the benefits of robotic assistance through rigorous RCT evidence. Geng has also advanced the field with a network meta-analysis comparing conventional, navigated, and robotic techniques, and a trial on precise acetabular positioning in hip arthroplasty. His work, totaling over 40 citations, is shaping the evidence base for adopting robotic systems in orthopaedic surgery, making him a key voice in the transition toward more precise, technology-driven joint replacement.
Research Focus
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