Yingjie Zou

Papers

Total Citations

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About

Yingjie Zou is a researcher whose work lies at the intersection of medical robotics and surgical precision, with a particular focus on improving the accuracy and safety of needle-based interventions. His most-cited study, "Experimental analysis of robot-assisted needle insertion into porcine liver" (2015, 21 citations), addresses a critical challenge in clinical practice: the need for precise needle placement in soft, deformable tissues like the liver. In this work, Zou developed a robot-assisted system and conducted systematic experiments on porcine liver tissue, demonstrating that robotic guidance can significantly enhance placement accuracy compared to manual techniques. This contribution is especially relevant for procedures such as biopsies, ablations, and targeted drug delivery, where millimeter-level errors can have serious consequences. By providing empirical evidence of the advantages of robotic assistance in needle insertion, Zou has helped lay the groundwork for more reliable, minimally invasive surgical tools. His research bridges engineering and clinical medicine, offering practical insights that could one day improve patient outcomes in image-guided interventions.