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About

Xufeng Wan is an orthopedic surgery researcher whose work centers on advancing the precision and outcomes of total knee arthroplasty (TKA), with a particular focus on robotic-assisted surgical technologies. His research has made meaningful contributions to understanding how robotic arm-assisted TKA (RA-TKA) enhances preoperative planning accuracy and intraoperative decision-making, demonstrating that these systems can reliably predict required bone resection volumes and optimal implant sizing — findings that have garnered 27 citations since publication in 2021. Wan has also tackled clinically pressing questions surrounding surgical technique optimization, notably conducting a prospective, double-blinded randomized controlled trial examining tourniquet use during robot-assisted TKA, exploring its effects on blood loss, pain, and functional recovery — work that has attracted 25 citations. His comparative studies between robotic-arm assisted and conventional manual TKA comprehensively evaluate postoperative pain, functional outcomes, and imaging assessments, providing surgeons with evidence-based guidance for adopting emerging technologies. Wan's body of work, spanning rigorous randomized controlled trials and prospective studies, positions him as a valuable contributor to the growing evidence base supporting robotic surgery's role in improving patient outcomes in joint replacement surgery.