Panagiotis Boutos
Papers
1
Total Citations
27
H-Index
1
About
Panagiotis Boutos is a leading orthopaedic surgeon and researcher whose work centers on advancing total knee arthroplasty (TKA) through robotic-assisted technology. His primary research areas include surgical learning curves, operative efficiency, and the clinical integration of robotic systems like the ROSA (Robotic Surgical Assistant). Boutos’s most cited study, "The learning curve to ROSA," published in 2023 with 27 citations, provides critical insights into how many cases an expert surgeon requires to match the operative time of robotic-assisted versus manual TKA. This work directly addresses a key barrier to robotic adoption—surgical proficiency—by quantifying the learning curve and demonstrating that experienced surgeons can achieve comparable efficiency with dedicated practice. Beyond this landmark paper, Boutos’s research contributes to evidence-based guidelines for implementing robotics in orthopaedics, helping to optimize patient outcomes and surgical workflows. His findings are widely referenced by clinicians and researchers aiming to understand the practical demands of robotic arthroplasty. Boutos’s work stands out for its practical focus, bridging the gap between innovation and real-world surgical application, and solidifying his reputation as a key voice in the evolution of robotic knee surgery.
Research Focus
Key Achievements
Top Papers
- 1