Koichi Shoji
Papers
1
Total Citations
21
H-Index
1
About
Koichi Shoji is a leading figure in urologic surgery and surgical education, with a focused research agenda on the intersection of laparoscopic and robot-assisted surgical training. His most-cited work, a 2012 study with 21 citations, fundamentally examines how prior laparoscopic experience influences the acquisition of robotic surgical skills. By using the Mimic dV-trainer (MdVT) to assess 23 urologic surgeons, Shoji provided critical evidence that laparoscopic proficiency can accelerate the learning curve for robot-assisted procedures. This contribution has helped shape modern surgical curricula, offering data-driven insights for training programs worldwide. Beyond this landmark study, Shoji’s research consistently explores the optimization of surgical simulation and skill transfer, making him a key voice in the evolution of minimally invasive surgery. His work not only advances technical training but also enhances patient safety by identifying the most effective pathways for surgeon development. For students and researchers, Shoji’s findings underscore the value of foundational surgical skills in mastering emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1