Jianzhong Guan

First Affiliated Hospital of Bengbu Medical College

Papers

Total Citations

H-Index

About

Jianzhong Guan is a researcher at the forefront of orthopedic trauma surgery, with a specialized focus on integrating artificial intelligence and robotic assistance into clinical practice. His work centers on improving surgical outcomes for elderly patients, particularly those with femoral neck fractures—a common and debilitating injury. Guan’s major contributions include pioneering the use of the Ti-Robot system to assist in minimally invasive femoral neck surgery, demonstrating its early effectiveness in treating Garden type II and III fractures. His research shows that robotic assistance can enhance surgical precision, reduce operation time, and improve recovery for elderly patients. Additionally, Guan has conducted comprehensive reviews on the application of AI in trauma treatment, exploring how technologies like machine learning can aid in prehospital triage, diagnosis, and surgical planning. Although his most-cited papers currently have modest citation counts (2 each), they represent foundational work in a rapidly evolving field. Guan’s research is notable for its practical, patient-centered approach, bridging cutting-edge technology with real-world surgical challenges. His work is essential reading for clinicians and researchers interested in the future of AI and robotics in trauma care.