Jiaming Zhang

Papers

Total Citations

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About

Jiaming Zhang is an emerging researcher at the forefront of medical technology innovation, with a primary focus on the intersection of artificial intelligence, robotics, and interventional radiology. His work explores how cutting-edge computational methods — including deep learning and machine learning — are reshaping modern clinical practice, particularly within the rapidly evolving field of interventional radiology (IR). Zhang's most notable contribution to date is his 2024 narrative review examining how AI and robotics are advancing interventional radiology, a paper that has already garnered 25 citations in a remarkably short time, signaling strong interest from both the medical and engineering communities. This work synthesizes current research progress while offering forward-looking perspectives on where these technologies are headed, making it a valuable resource for clinicians, engineers, and researchers alike. By bridging the gap between computational innovation and real-world clinical application, Zhang's research addresses some of the most pressing challenges in modern medicine — improving procedural precision, reducing physician workload, and ultimately enhancing patient outcomes. His scholarship positions him as a promising voice in the conversation around the future of AI-driven healthcare.