Michael Kelly
Papers
3
Total Citations
27
H-Index
3
About
Michael Kelly is a leading researcher in the rapidly evolving field of computer-assisted spine surgery, with a focus on robotic-assisted navigation and advanced imaging. His work has been instrumental in demonstrating the feasibility and accuracy of using MRI-based data—specifically 3D MRI sequences like ZTE and SPGR—for robotic pedicle screw placement, a significant departure from traditional CT-based methods. In a 2024 human cadaveric study (15 citations), he pioneered the use of preoperative MRI as source data for robotic spine surgery, while his prospective clinical analysis (9 citations) provided a critical head-to-head comparison of augmented reality versus robotic-assisted surgery for lumbosacral screw placement. Most recently, his 2025 cadaveric study (3 citations) extended this work to the thoracic spine, confirming the viability of CT-like 3D-MRI for robotic navigation. By challenging the reliance on ionizing radiation and expanding the role of MRI in surgical planning, Kelly’s research is shaping a safer, more precise future for spinal instrumentation.
Research Focus
Key Achievements
Top Papers
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