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About

Evan Sheha is a spine surgery researcher whose work sits at the forefront of robotic and navigated minimally invasive spinal surgery. His research focuses on evaluating emerging surgical technologies — particularly robotic-assisted systems and intraoperative navigation — to determine their real-world clinical value in lumbar fusion procedures such as minimally invasive transforaminal lumbar interbody fusion (MI-TLIF). Sheha's most influential contribution, now cited 55 times, demonstrated that robotic-assisted surgery meaningfully reduces radiation exposure compared to navigation-based approaches, a finding with significant implications for both patient and surgeon safety. His subsequent work has expanded this foundation by comparing clinical outcomes between the two technologies, analyzing pedicle screw accuracy across more than 1,000 screws using a floor-mounted robotic platform, and rigorously examining how surgeon experience shapes the robotic learning curve. Together, these studies have accumulated over 130 citations, establishing Sheha as a credible and productive voice in technology-driven spine surgery research. Perhaps most notably, his investigation into how spine fellows and early-career attendings perceive these technologies reflects a broader commitment to understanding how innovation is integrated into surgical training — an increasingly critical question as robotics reshapes the future of orthopedic and neurosurgical education.