Papers
3
Total Citations
41
H-Index
3
About
Heng-Wei Liu is a pioneering researcher in the field of robotic-assisted neurosurgery and spinal intervention. His work centers on evaluating and optimizing the clinical application of the ROSA ONE Spine System and related robotic platforms for both spinal and cranial procedures. Liu’s major contributions include defining the institutional learning curve for robot-assisted transpedicular screw placement, demonstrating that proficiency can be achieved after a specific number of cases—a finding critical for surgical training and adoption. He also led a multicenter study comparing robot-assisted versus navigation-guided minimally invasive transforaminal lumbar interbody fusion, providing the first direct evidence of how these two advanced technologies perform against each other. Beyond the spine, Liu has innovatively applied robotic stereotactic assistance (ROSA) for spontaneous intracerebral hematoma aspiration and thrombolytic catheter placement, expanding the role of robotics into cranial emergency care. With his most cited papers accumulating over 40 citations, Liu’s work is shaping the evidence base for precision, safety, and efficiency in minimally invasive neurosurgery.
Research Focus
Key Achievements
Top Papers
- 1Learning Curve of ROSA ONE Spine System for Transpedicular Screw Placement18 citations · 2022
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