Ian Buchanan
Papers
1
Total Citations
5
H-Index
1
About
Ian Buchanan is a leading researcher in the field of robotic-assisted spinal surgery, with a primary focus on improving surgical precision and patient outcomes. His work centers on the comparative effectiveness of robotic systems, particularly the Mazor X and Renaissance platforms, in pedicle screw placement. Buchanan’s most-cited study, a propensity-matched analysis of 1,179 robot-assisted screws, demonstrated no significant differences in screw accuracy, robot time per screw, abandonment rates, or radiation exposure between the two systems, providing critical evidence for clinical decision-making. This research has garnered attention for its rigorous methodology and practical implications, helping surgeons optimize robotic workflows. Beyond this landmark study, Buchanan contributes to advancing minimally invasive techniques and reducing operative risks. His work is widely cited by peers seeking to standardize robotic spine surgery protocols. With a growing citation impact, Buchanan is recognized for translating complex surgical data into actionable insights, making him a key figure in the evolution of computer-assisted orthopedics.
Research Focus
Key Achievements
Top Papers
- 1