Sean Kyne
Papers
2
Total Citations
57
H-Index
2
About
Sean Kyne is a leading researcher in the field of robotic-assisted spine surgery, with a primary focus on enhancing surgical precision through the integration of advanced imaging and automation. His major contributions center on the design, control, and clinical validation of image-guided robotic systems for minimally invasive spine (MIS) fusion procedures. Kyne’s landmark 2020 study, cited 44 times, demonstrated the feasibility and accuracy of a novel robotic guidance system in a hybrid operating room, showing that the combination of navigation and robotics can reliably maintain bone entry position and planned trajectory. His related work on system design and control (13 citations) further establishes the technical foundation for semi-automated pedicle screw placement, aiming to reduce complication rates and improve surgical outcomes. By bridging engineering and clinical practice, Kyne’s research has directly advanced the development of OR-integrated robotic solutions that promise to make spine surgery safer, more efficient, and more accessible. His work is essential reading for engineers and surgeons alike, offering a clear path toward the next generation of computer-assisted spine surgery.
Research Focus
Key Achievements
Top Papers
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