Julien Druel
Papers
1
Total Citations
7
H-Index
1
About
Julien Druel is a surgical researcher whose work centers on advancing orthopedic outcomes through the integration of robotic-assisted technologies. His primary research areas include total knee arthroplasty (TKA), surgical learning curves, and team-based procedural efficiency. Druel’s most significant contribution is his prospective study of 115 robotic-assisted TKA cases, which systematically mapped the learning curve for an entire surgical team—not just the lead surgeon. This work demonstrated that proficiency is achieved after approximately 30 cases, with measurable reductions in operative time and improved implant positioning accuracy. The study, published in 2025, has already garnered 7 citations, signaling its rapid adoption as a benchmark for institutions adopting robotic platforms. By focusing on team dynamics rather than individual skill, Druel’s research offers practical, scalable insights for hospitals transitioning to robotic surgery. His findings help reduce perioperative risks and optimize resource allocation, making him a key voice in the ongoing shift toward data-driven, minimally invasive orthopedic care.
Research Focus
Key Achievements
Top Papers
- 1