Papers
2
Total Citations
92
H-Index
2
About
Luis Grau is a leading figure in orthopaedic surgery, specializing in the optimization of robotic arm-assisted total knee arthroplasty (RTKA). His research focuses on improving surgical workflow, reducing operative times, and understanding the learning curve associated with advanced robotic technologies. Grau's major contributions include demonstrating that the successful implementation of the Navio robotic system requires only 29 cases, a finding that has significant implications for surgical training and adoption. His 2019 study on RTKA workflow optimization, which has garnered 53 citations, highlights the benefits of robotic assistance—such as advanced templating, mechanical alignment restoration, and dynamic gap balancing—while addressing common concerns about procedural efficiency. With over 90 combined citations, Grau's work has helped bridge the gap between innovation and practical application, making robotic arthroplasty more accessible. His research is essential reading for surgeons and trainees seeking to integrate robotics into their practice, offering evidence-based guidance on overcoming the initial learning curve and maximizing patient outcomes.
Research Focus
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Top Papers
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