Mingen Xu
Papers
1
Total Citations
17
H-Index
1
About
Mingen Xu is a pioneering figure in surgical simulation and robotic-assisted training, with a primary focus on advancing pancreatic surgery education. His most notable contribution is the development of three-dimensional printed dry lab training models that simulate robotic-assisted pancreaticojejunostomy (PJ), a notoriously complex procedure. In his landmark 2019 study, Xu designed three innovative dry lab models—including a transected silicon anastomosis model—and rigorously assessed their utility through quality improvement exercises. This work, which has garnered 17 citations, addresses a critical gap in surgical training by providing realistic, low-cost platforms for practicing high-stakes robotic techniques without patient risk. Xu's research directly impacts the fields of surgical simulation, 3D printing in medicine, and robotic surgery education. By creating accessible training tools that bridge the gap between theoretical knowledge and hands-on skill acquisition, he has helped establish new standards for competency-based surgical education. His models enable repetitive practice and objective performance assessment, making him a key contributor to safer, more effective training paradigms in minimally invasive pancreatic surgery.
Research Focus
Key Achievements
Top Papers
- 1