Shihao Guo

First Affiliated Hospital of Zhengzhou University, Shandong Jiaotong University

Papers

Total Citations

H-Index

About

Shihao Guo is a researcher at the intersection of surgical oncology and robotic engineering, whose work is shaping the future of precision medicine and industrial automation. His primary research areas include robotic-assisted surgery for rectal cancer and intelligent automation systems for infrastructure. Guo’s most impactful contribution is a pioneering multicenter, retrospective study that developed the first predictive model for surgical difficulty in robot-assisted total mesorectal excision (R-TME) for middle and low rectal cancer. This work, cited 5 times since 2024, addresses a critical gap in clinical practice by identifying key factors that influence procedural complexity, thereby helping surgeons optimize patient selection and operative planning. In a parallel engineering achievement, Guo designed a novel robot for the automatic installation of rail fasteners, integrating visual recognition and sensor technology to identify fastener types and bolt positions, with a manipulator and electric wrench executing precise assembly. This dual expertise—bridging clinical decision-making and robotic hardware innovation—demonstrates Guo’s versatility. His research not only advances surgical safety and efficiency but also contributes to smart infrastructure, marking him as a rising figure in translational robotics.