Papers
1
Total Citations
40
H-Index
1
About
Ziam Khan is a leading researcher at the intersection of neurosurgery, biomedical engineering, and surgical innovation, with a primary focus on enhancing the safety and precision of spinal instrumentation. His most impactful work, a landmark 2022 systematic review and meta-analysis, synthesized data from the past decade to evaluate robot-assisted and augmented reality–assisted spinal surgery. Garnering over 40 citations, this study stands as the largest of its kind, critically assessing screw accuracy and patient-centered outcomes. Khan’s major contribution lies in providing robust, evidence-based clarity on the comparative efficacy of these emerging technologies, demonstrating that they significantly reduce the risk of inaccurate screw placement compared to conventional freehand techniques. This work has profound implications for reducing revision surgeries and improving patient recovery. By rigorously analyzing a decade of technological evolution, Khan has helped define the current standard for evaluating surgical innovation, making his research essential reading for spine surgeons, biomedical engineers, and anyone committed to advancing safer, more effective neurosurgical care.
Research Focus
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Top Papers
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