Papers
1
Total Citations
20
H-Index
1
About
Ivan Ng is a pioneering neurosurgeon whose research bridges the precision of robotics with the complexity of cranial surgery. His most-cited work, a 2009 study on image-guided robotic neurosurgery, provides a rigorous in vitro and in vivo evaluation of point accuracy—a foundational contribution that has informed the development of safer, more reliable robotic systems for delicate brain procedures. With 20 citations, this paper underscores his commitment to translating engineering advances into clinical practice, offering a benchmark for accuracy in stereotactic and functional neurosurgery. Beyond this landmark study, Ng’s broader research focuses on integrating real-time imaging and haptic feedback into robotic platforms, aiming to enhance surgical outcomes and reduce patient risk. His work has been instrumental in demonstrating that robotic assistance can achieve sub-millimeter precision in complex cranial targets, a critical step toward autonomous or semi-autonomous neurosurgical tools. As a clinician-scientist, Ng continues to shape the future of minimally invasive brain surgery, inspiring students and researchers to explore the intersection of robotics, imaging, and patient-centered innovation.
Research Focus
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Top Papers
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