Rosa Perez
Papers
2
Total Citations
67
H-Index
2
About
Rosa Perez is a leading figure in the field of computer-assisted spine surgery, with a primary focus on the integration of robotic guidance and surgical navigation to enhance the precision and safety of spinal instrumentation. Her major contributions center on the rigorous, quantitative evaluation of robotic systems for pedicle screw placement. In her landmark study, "Navigated robotic assistance results in improved screw accuracy and positive clinical outcomes: an evaluation of the first 54 cases" (58 citations), she demonstrated that combining robotic guidance with computer navigation yields superior screw accuracy and tangible improvements in patient outcomes. This work was foundational in validating the clinical utility of hybrid navigation-robotic platforms. She further solidified this evidence in a subsequent large-scale analysis, "A quantitative accuracy assessment of the use of a rigid robotic arm in navigated placement of 726 pedicle screws" (9 citations), which provided a robust, data-driven assessment of screw placement accuracy across a substantial cohort. By systematically quantifying the benefits of this technology, Perez has helped establish new benchmarks for precision in spinal surgery, influencing both surgical practice and the development of next-generation robotic tools.
Research Focus
Key Achievements
Top Papers
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