Samuel Eaddy
Papers
1
Total Citations
10
H-Index
1
About
Samuel Eaddy is an orthopedic surgeon and researcher focused on advancing surgical precision in total knee arthroplasty (TKA), particularly through robotic-assisted technologies. His most-cited work, "Learning curve for imageless robotic-assisted total knee arthroplasty in non-fellowship trained joint replacement surgeons" (2023, 10 citations), provides critical insights into the adoption of robotic systems by general orthopedic surgeons, demonstrating that even those without specialized fellowship training can achieve proficiency with a manageable learning curve. This contribution is significant for broadening access to robotic-assisted surgery, potentially improving patient outcomes and reducing complications in community practice settings. Eaddy’s research addresses a key barrier to technological adoption—surgeon training—by offering evidence-based benchmarks for skill acquisition. His work has implications for surgical education and healthcare equity, as it supports the safe integration of advanced tools into diverse clinical environments. With a growing citation impact, Eaddy is establishing himself as a voice in the evidence-based evolution of joint replacement surgery, bridging the gap between innovation and practical implementation for surgeons worldwide.
Research Focus
Key Achievements
Top Papers
- 1