Yanneng Xu

Papers

Total Citations

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About

Yanneng Xu is an emerging researcher at the intersection of artificial intelligence, robotics, and interventional radiology (IR), contributing to one of the most rapidly evolving frontiers in modern medicine. Their most recognized work, a narrative review examining how AI and robotics are transforming interventional radiology, has garnered significant attention within the medical and engineering communities, accumulating over 25 citations since its 2024 publication. This research provides a comprehensive synthesis of how deep learning, machine learning, and robotic systems are being integrated into IR procedures, offering both a state-of-the-art overview and a forward-looking perspective on the field's trajectory. By bridging the gap between cutting-edge computational methods and clinical radiology practice, Xu's contributions help clarify how these technologies can enhance procedural precision, patient safety, and diagnostic accuracy. Their work serves as a valuable resource for clinicians, biomedical engineers, and researchers seeking to understand the evolving role of intelligent systems in minimally invasive medicine. Though early in their career, Xu's focused scholarship signals a promising trajectory in medical AI research, positioning them as a thoughtful voice in shaping the future of interventional radiology.