Papers
1
Total Citations
6
H-Index
1
About
M Salvini is a leading researcher in orthopaedic surgery, with a primary focus on robotic-assisted knee arthroplasty and surgical learning curves. Their work critically evaluates how emerging technologies, particularly robot-assisted systems, are transforming total and unicompartmental knee arthroplasties by improving prosthetic implantation accuracy and reducing complications. Salvini’s most cited paper, “Evaluation of the learning curve in robot‐assisted knee arthroplasty: A Systematic review” (2025, 6 citations), provides a comprehensive analysis of the training and adaptation required for surgeons adopting these advanced systems, highlighting the balance between technological benefits and the necessary skill acquisition. This contribution is particularly valuable for guiding clinical implementation and surgical education. Salvini’s research addresses a key translational gap—how to safely and effectively integrate robotics into routine orthopaedic practice. By systematically examining learning curves, their work helps establish evidence-based benchmarks for surgical proficiency, ultimately aiming to improve patient outcomes. Salvini’s scholarship is essential reading for orthopaedic surgeons, trainees, and biomedical engineers interested in the practical challenges and opportunities of robotic surgery in joint replacement.
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