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About

Wenwei Qian is a leading researcher in orthopaedic surgery, specializing in the clinical integration of robotics and artificial intelligence to improve joint replacement and spinal procedures. His work centers on evaluating the efficacy and safety of robotic-assisted techniques compared to conventional methods, with a particular focus on total hip arthroplasty (THA), total knee arthroplasty (TKA), and pedicle screw fixation. Qian’s major contributions include landmark meta-analyses that have shaped the evidence base for robotic surgery. His 2018 systematic review on robotic-assisted versus conventional THA (137 citations) provided critical insights into surgical accuracy and implant survival, while his 2018 meta-analysis on robot-assisted pedicle screw fixation (94 citations) clarified the benefits of robotics in spine surgery. More recently, he led a prospective, multicenter randomized controlled trial (2025) directly comparing robotic-assisted THA to conventional surgery, offering high-level evidence on functional outcomes and complications. Qian has also pioneered deep learning methods for orthopaedic imaging, developing the DDA-Transformer for knee CT segmentation in robotic TKA (2024). With over 240 citations across his most-cited works, Qian’s research is instrumental in guiding the adoption of robotic technologies in orthopaedics, bridging the gap between innovation and clinical practice.