Masahito Tokunaga
Papers
1
Total Citations
16
H-Index
1
About
Masahito Tokunaga is a leading figure in the advancement of robot-assisted surgery, with a primary research focus on surgical simulation and the validation of training technologies. His most cited work, a prospective study on the Mimic® dV-Trainer, established the face, content, and concurrent validity of this simulator against the gold-standard da Vinci Surgical System. By demonstrating a strong correlation between performance on the trainer and the actual surgical console, Tokunaga provided critical evidence that virtual reality simulators can effectively prepare surgeons for real-world robotic procedures. This foundational contribution, cited 16 times, has helped shape modern surgical education by validating cost-effective, risk-free training platforms. His research directly addresses the pressing need for objective, validated metrics in robotic surgery training, influencing how institutions assess and credential surgeons. Tokunaga’s work stands as a benchmark in the field, bridging the gap between simulation and clinical proficiency, and continues to inform the development of next-generation surgical training curricula.
Research Focus
Key Achievements
Top Papers
- 1