Go Kikuta
Papers
1
Total Citations
11
H-Index
1
About
Go Kikuta is a researcher in medical simulation and skill training systems, with a focus on developing realistic, feedback-driven platforms for clinical education. His key research areas include airway management training, 3D simulation for performance assessment, and the integration of quantitative feedback into hands-on medical training. Kikuta’s major contribution is the development of the WKA-1RII airway management training system, which combines a physical simulator with 3D simulation to provide trainees with detailed, objective performance data. His most-cited work, a 2011 paper on this system, has garnered 11 citations and demonstrates his commitment to bridging the gap between simulation fidelity and educational efficacy. By enabling better understanding of trainee performance through visual and quantitative feedback, Kikuta’s research has advanced the design of more effective, evidence-based training tools for critical procedures. His work is particularly notable for its emphasis on creating immersive yet informative learning environments, helping to improve patient safety through enhanced practitioner preparedness. Kikuta’s contributions continue to influence the field of medical simulation, offering valuable insights for educators and developers alike.
Research Focus
Key Achievements
Top Papers
- 1