Jin Guo

Papers

Total Citations

H-Index

About

Jin Guo is a researcher specializing in medical robotics and minimally invasive surgical systems, with a particular focus on vascular interventional surgery (VIS) and robotic catheter manipulation. His work sits at the intersection of surgical technology, human-computer interaction, and telemedicine, addressing critical challenges in modern interventional procedures. Guo's most notable contributions center on advancing Internet-based robotic surgical platforms designed to improve both emergency medical care and surgical training. His 2013 research on reducing transmission latency in visual feedback systems tackled one of the fundamental obstacles to reliable remote surgery — network delay and unpredictability — making teleoperated procedures more feasible for global deployment. Complementing this, his work on robotic catheter manipulating systems directly addresses the limitations of manual catheter handling, including procedural inaccuracy and prolonged radiation exposure for surgeons, by engineering automated solutions that enhance precision and safety. With a combined citation count reflecting a focused body of emerging work, Guo's research has contributed meaningful groundwork to the development of remote surgical systems. His efforts are particularly significant for expanding access to specialized vascular care in underserved regions and for enabling safe, scalable training environments for novice surgeons worldwide.