M. E. Stephens

University of Oklahoma Health Sciences Center, Children's Hospital of Oklahoma

Papers

Total Citations

H-Index

About

M. E. Stephens is a rising researcher at the intersection of artificial intelligence and neurosurgery, with a primary focus on degenerative spine disease and advanced stereoelectroencephalography (SEEG) techniques. Their most impactful contribution is a comprehensive systematic review on the utility of machine learning algorithms in degenerative cervical and lumbar spine disease, which has garnered 25 citations and serves as a foundational reference for integrating AI into spinal diagnostics and treatment planning. This work highlights their ability to synthesize complex technological advances with clinical applications. Additionally, Stephens has pioneered work on the learning curve in robotic SEEG, documenting a single-platform experience that provides critical insights for surgical training and procedural optimization. Their research demonstrates a commitment to improving surgical precision and outcomes through data-driven approaches. While early in their career, Stephens’ contributions are already shaping how neurosurgeons leverage machine learning and robotics, positioning them as a promising voice in the next generation of spine and epilepsy surgery innovation.