Marco Barbaliscia

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About

Marco Barbaliscia is a rising orthopedic researcher whose work centers on the technological frontiers of joint arthroplasty, particularly the integration of robotic assistance in knee surgery. His most-cited study, a 2025 systematic review on the learning curve in robot-assisted knee arthroplasty, has already garnered 6 citations, reflecting the field’s urgent need for evidence-based guidance. In this pivotal work, Barbaliscia critically evaluates how different robotic systems—from semi-active to active platforms—impact surgical proficiency in total and unicompartmental knee arthroplasties. His analysis demonstrates that while robotic assistance enhances implant accuracy and reduces complications, the transition demands a structured learning curve that varies by system and surgeon experience. By synthesizing data on operative times, component positioning, and early outcomes, Barbaliscia provides a roadmap for safer adoption of this transformative technology. His contribution is especially notable for its practical implications: helping surgeons and institutions design training protocols that minimize patient risk during the adoption phase. As robotic arthroplasty continues to expand, Barbaliscia’s work stands as a critical benchmark for understanding how to balance technological promise with surgical mastery, making him a key voice in the future of precision joint replacement.