Shingo Fukumoto
Papers
1
Total Citations
42
H-Index
1
About
Shingo Fukumoto is a leading figure in the advancement of robotic-assisted spinal surgery, with his work fundamentally reshaping the precision and safety of pedicle screw placement. His research centers on the development and validation of robotic guidance systems (RGS) for complex orthopedic procedures, addressing the critical challenge of accurate screw insertion in the spine. Fukumoto’s most influential contribution is his seminal 2015 cadaveric study on the accuracy of pedicle screw placement using RGS, which has garnered 42 citations and established a benchmark for the field. This work demonstrated that robotic guidance significantly reduces the risk of cortical breach, offering a transformative alternative to traditional freehand techniques. By providing rigorous, evidence-based validation of RGS, Fukumoto has directly influenced clinical adoption and improved patient outcomes. His research not only highlights the technical superiority of robotic assistance but also paves the way for broader applications in minimally invasive spine surgery, making him a pivotal innovator in the ongoing evolution of surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1Accuracy of Pedicle Screw Placement with Robotic Guidance System42 citations · 2015