Nathan Finch

Papers

Total Citations

113

H-Index

About

Nathan Finch is a leading orthopedic surgeon and researcher whose work has significantly advanced the field of robotic-assisted joint arthroplasty. His primary research focuses on the integration of robotic technology in total hip and knee replacements, with a particular emphasis on surgical learning curves, clinical outcomes, and implant longevity. Finch’s most cited paper, “The Learning Curve Associated With Robotic-Assisted Total Hip Arthroplasty” (2014, 113 citations), is a seminal study that quantifies the technical adaptation period for surgeons transitioning to robotic systems. This work has helped establish best practices for training and proficiency, directly influencing how institutions implement robotic programs to minimize complications and improve patient safety. Beyond this, his research has shaped understanding of how robotic assistance can enhance precision in component positioning, reduce variability, and potentially improve long-term implant survival. With a citation count reflecting his influence, Finch’s contributions are essential reading for surgeons and researchers exploring the intersection of technology and orthopedics. His work continues to guide the safe adoption of robotics in joint replacement, making him a respected voice in the field.