Xiaowei Huang

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About

Xiaowei Huang is a medical researcher specializing in robotic-assisted interventional procedures and image-guided surgery, with a particular focus on advancing precision techniques in computed tomography (CT)-guided puncture methods. Huang's most notable contribution centers on the development and validation of a coordinate positioning puncture method under robot-assisted CT guidance, a technically demanding area that bridges robotics, medical imaging, and minimally invasive intervention. This foundational work, demonstrated through both phantom and animal experiments, represents a significant step toward improving the accuracy and reproducibility of CT-guided punctures — procedures critical in biopsies, tumor ablations, and other percutaneous interventions where millimeter-level precision can directly impact patient outcomes. By rigorously validating this methodology across controlled experimental settings, Huang's research lays essential groundwork for clinical translation of robotic guidance systems. With 11 citations since its 2020 publication, this work has begun attracting attention within the interventional radiology and surgical robotics communities. For students and researchers exploring the frontier of intelligent surgical systems, Huang's contributions offer a compelling example of how engineering innovation can be systematically evaluated and brought closer to real-world medical practice.