Qing Hang Li
Papers
5
Total Citations
339
H-Index
3
About
Qing Hang Li is a biomedical engineer and neurosurgical technology researcher whose work has focused on the critical intersection of robotics, image guidance, and surgical precision in neurosurgery. Li's most significant contribution centers on the rigorous quantitative evaluation of the NeuroMate robotic system, a commercially available image-guided platform used for stereotactic neurosurgical procedures. His landmark 2002 study comparing the NeuroMate's application accuracy against both frameless and frame-based surgical localization systems has become a foundational reference in the field, accumulating over 330 citations across its various publications — a testament to its enduring relevance in surgical robotics research. Building on earlier clinical investigations published in 2000 that explored the practical implementation and accuracy of robotic-assisted open neurosurgery, Li helped establish an evidence base during a pivotal era when robotic systems were first being integrated into neurosurgical practice. His collaborative research with prominent neurosurgeons, including Lucia Zamorano, helped bridge the gap between engineering innovation and clinical application, making a meaningful impact on how surgical accuracy is measured and validated in robotic neurosurgery.
Research Focus
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Top Papers
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