Eustathios Kenanidis
Papers
5
Total Citations
100
H-Index
5
About
Eustathios Kenanidis is a leading orthopedic researcher whose work is reshaping total knee arthroplasty (TKA) through the integration of robotic technology. His primary research focuses on the ROSA (Robotic Surgical Assistant) system, where he has systematically evaluated its clinical outcomes, accuracy, and learning curve. In a landmark prospective matched study (2022, 40 citations), he demonstrated that robotically assisted TKA yields superior outcomes compared to manual techniques in osteoarthritis patients. His investigation into the ROSA learning curve (2023, 27 citations) established that expert surgeons require a specific number of cases to match operative times with manual TKA—a critical finding for surgical training and adoption. Kenanidis has also pioneered novel classification systems, including the Robotic Evaluation of Articular Laxity (REAL) classification (2025, 10 citations), which provides a standardized, intraoperative method for assessing soft-tissue balance using robotic software. His work on joint line restoration and posterior condylar offset precision (2024, 11 citations) further underscores the enhanced accuracy of robotic systems. With a growing citation impact and a focus on translational, evidence-based innovation, Kenanidis is at the forefront of defining the future of robotic-assisted knee surgery.
Research Focus
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Top Papers
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