Aubrie Sowa

Papers

Total Citations

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About

Aubrie Sowa is a rising researcher in the field of spinal surgery, with a focused expertise in the integration of robotic assistance and minimally invasive techniques. Her work critically examines the learning curve associated with robotic-assisted pedicle screw placement, a key area where surgical precision and patient safety intersect. Through her most-cited publication, a 2025 individual patient data meta-analysis, Sowa has provided essential insights into how surgeons acquire proficiency with robotic systems, offering data-driven benchmarks that can guide training protocols and improve operative outcomes. This contribution is particularly impactful in the context of the rapid adoption of robotics in orthopedics, where understanding the transition from novice to expert is vital for reducing complication rates. With her work already garnering early citations, Sowa is establishing herself as a valuable voice in evidence-based surgical innovation, helping to shape best practices for the next generation of spine surgeons. Her research promises to bridge the gap between technological advancement and clinical application, making her a researcher to watch in the evolving landscape of robotic surgery.