Daniel M. McKenzie

University of Oklahoma Health Sciences Center

Papers

Total Citations

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About

Daniel M. McKenzie is a leading researcher at the intersection of spine surgery, robotics, and artificial intelligence. His work focuses on evaluating and advancing the role of emerging technologies in spinal care, with a particular emphasis on systematic reviews that synthesize evidence for clinical practice. McKenzie’s major contributions include comprehensive analyses of robotic assistance in spine surgery and the application of machine learning algorithms to degenerative cervical and lumbar spine disease. His 2021 systematic review on robotics in spine surgery, which has garnered 46 citations, provides a critical framework for understanding the safety, accuracy, and outcomes of robotic systems in spinal procedures. Additionally, his review on machine learning in degenerative spine disease (25 citations) highlights the potential of AI to improve diagnosis, treatment planning, and prognostic modeling. Through these works, McKenzie has helped bridge the gap between cutting-edge technology and evidence-based spine care, offering clinicians and researchers a roadmap for integrating computational tools into surgical practice. His contributions are shaping the future of precision spine surgery and data-driven decision-making in orthopedics.