Jay Toor

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About

Jay Toor is a leading researcher in the field of robotic-assisted spine surgery, with a focused expertise in surgical outcomes, biomechanical performance, and comparative effectiveness of emerging technologies. His most notable contribution is a landmark network meta-analysis comparing key performance metrics of major robotic platforms in spine surgery, analyzing data from over 14,462 pedicle screws. This work, published in 2025, has already garnered significant attention with 5 citations, providing critical evidence on accuracy, safety, and efficiency across different robotic systems. Toor’s research directly addresses the pressing need for standardized evaluation of robotic tools in orthopedics, helping surgeons and hospitals make data-driven decisions. His work is distinguished by its rigorous methodology and large-scale synthesis of clinical data, positioning him as a key voice in the ongoing integration of robotics into spinal procedures. As a researcher, Toor combines clinical insight with advanced statistical modeling, making his findings highly impactful for both practicing surgeons and medical device developers. His contributions are shaping the future of minimally invasive, robot-guided spinal surgery.