Fauziyya Muhammad

University of Oklahoma Health Sciences Center

Papers

Total Citations

H-Index

About

Fauziyya Muhammad is a rising researcher at the intersection of neurosurgery and artificial intelligence, whose work is beginning to shape how we understand and treat spinal pathology. Her key research areas include degenerative spine disease, machine learning applications in surgery, and the optimization of robotic-assisted techniques. Muhammad’s most significant contribution to date is her 2021 systematic review, “Utility of machine learning algorithms in degenerative cervical and lumbar spine disease,” which has garnered 25 citations—a strong indicator of its influence in a rapidly evolving field. This work critically evaluated how AI can enhance diagnostic accuracy and treatment planning for common spinal conditions, laying groundwork for more personalized surgical care. In 2024, she co-authored a notable letter to the editor analyzing learning curves for robot-assisted pedicle screw placement, drawing on 234 operative cases to highlight efficiency gains and training implications. This correspondence demonstrates her engagement with cutting-edge surgical technology and her ability to distill complex procedural data into actionable insights. Muhammad’s research is particularly valuable for students and clinicians seeking to understand how computational tools can augment traditional surgical decision-making. Her growing citation record and focus on translational applications mark her as a promising voice in the future of spine surgery and medical AI.