Vickas Khanna

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About

Vickas Khanna is a leading researcher in orthopaedic surgery, with a primary focus on advancing robotic-assisted total knee arthroplasty (TKA) and optimizing surgical outcomes through evidence-based synthesis. His most notable contribution is a systematic review and meta-analysis examining the learning curve of robotic-assisted TKA, a critical work that has garnered 5 citations since its publication in 2025. This study provides essential insights into the procedural efficiency and skill acquisition required for surgeons adopting robotic technology, directly impacting clinical training and patient safety. Khanna’s research bridges the gap between emerging surgical innovations and practical implementation, offering data-driven guidance for orthopaedic practices worldwide. His work is particularly valuable for surgeons and trainees navigating the transition to robotic systems, as it quantifies the number of cases needed to achieve proficiency and highlights associated complications. By systematically analyzing existing evidence, Khanna has established a foundational reference point for future studies in robotic arthroplasty. His contributions underscore a commitment to improving surgical precision and reducing variability in outcomes, making him a key voice in the evolving landscape of joint replacement surgery.