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About

Jeff Ehresman is a leading researcher in the field of robotic and augmented reality (AR)-assisted spine surgery, with a focus on improving the accuracy and reliability of complex spinal instrumentation. His major contributions include the development of a novel three-dimensional grading system to assess the precision of robot-assisted pedicle screw placement, a critical tool for evaluating and advancing surgical robotics. This work, published in 2020, has garnered 43 citations, underscoring its impact on the field. Ehresman also made headlines with the first in-human report of S2 alar-iliac (S2AI) screw placement using augmented reality assistance, a breakthrough that enhances spinopelvic fixation by reducing surgical dissection and hardware prominence. This 2022 study, with 14 citations, highlights his role in pioneering AR applications for challenging anatomical procedures. Through these innovations, Ehresman is shaping the future of minimally invasive, technology-driven spine surgery, providing surgeons with tools to improve patient outcomes and procedural safety.