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About

Elisa Rivi is an orthopedic researcher whose work centers on robotic-assisted knee arthroplasty, with a particular focus on unicompartmental knee arthroplasty (UKA) outcomes and surgical precision. Her research has made meaningful contributions to understanding how robotic-arm assistance can improve component placement, implant alignment, and overall survivorship in partial knee replacement procedures. Her most cited work, a 2019 multicentre retrospective study (43 citations), examined revision rates and clinical outcomes in a large cohort of patients undergoing robotic-arm-assisted medial and lateral UKA, providing some of the most comprehensive short-term survivorship data available in this emerging field. A complementary study from the same year (27 citations) explored the critical relationship between intraoperative component positioning, soft-tissue balancing, and clinical outcomes — offering surgeons actionable insights into optimizing robotic-assisted technique. Her earlier single-centre investigation (21 citations) laid important groundwork by demonstrating how robotic surgery can minimize the technical errors that historically undermined UKA survivorship. Collectively, Rivi's body of work has helped establish an evidence base for robotic-arm-assisted partial knee arthroplasty, earning nearly 100 combined citations and positioning her as a notable contributor to the evolving landscape of precision orthopedic surgery.