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About

Ziyang Mei is a pioneering researcher at the intersection of vascular interventional robotics, microrobotics, and artificial intelligence, whose work is transforming minimally invasive surgery. His primary research areas include remote-controlled surgical robotics, magnetic microrobots for targeted drug delivery, and AI-driven autonomous surgical decision-making. Mei’s major contributions include developing a remote-controlled robotic system with safety protection based on force-sensing and bending feedback for transcatheter arterial chemoembolization (TACE), which enhances surgical accuracy while reducing X-ray exposure. He also introduced water-stable magnetic lipiodol micro-droplets as a novel miniaturized robotic tool for drug delivery, addressing critical challenges in biocompatibility and precise control. His work on AI agents mastering surgical decision-making in vascular interventional robotics represents a leap toward autonomous guidewire navigation. With his most-cited paper, “Remote vascular interventional surgery robotics: a literature review,” garnering 59 citations, Mei’s research has significant impact, protecting interventional doctors from radiation hazards and improving surgical outcomes. His recent innovations in deep learning for real-time guidewire detection and lightweight attention networks for guidewire segmentation further underscore his commitment to advancing robotic precision in clinical settings.