Gangxian Fan
Papers
1
Total Citations
8
H-Index
1
About
Gangxian Fan is a researcher at the forefront of surgical simulation and medical education technology, with a focus on developing accessible, low-cost tools for skill assessment. His most-cited work, a 2020 feasibility study on a low-cost motion tracking system for evaluating endoscope holding skills, has garnered 8 citations and demonstrates his commitment to democratizing surgical training. Fan’s major contribution lies in bridging the gap between expensive, high-fidelity simulators and practical, affordable alternatives that can be widely adopted in resource-limited settings. By validating the use of cost-effective motion sensors to objectively measure hand steadiness and instrument control, he provides a scalable solution for training novice surgeons in endoscopic procedures. This work has direct implications for improving patient safety and reducing training disparities globally. Fan’s research is characterized by its pragmatic approach—combining engineering innovation with rigorous clinical validation—making him a notable figure in the growing field of low-cost medical simulation. His ongoing efforts continue to shape how surgical skills are taught and assessed, particularly in minimally invasive techniques.
Research Focus
Key Achievements
Top Papers
- 1