Ryu Midorikawa

Papers

Total Citations

H-Index

About

Ryu Midorikawa is a leading figure in surgical skill assessment, pioneering sensor-based systems to objectively evaluate medical expertise. His most influential work, "Development of Sensor System for Effective Evaluation of Surgical Skill" (2006, 14 citations), introduced an innovative approach using photo interrupters to detect skin dummy movement during suture placement. This breakthrough demonstrated statistically significant differences in sensor data between surgeons of varying experience levels, laying the foundation for data-driven surgical training. Midorikawa's research bridges biomedical engineering and medical education, offering a quantitative alternative to subjective evaluation methods. His contributions have been instrumental in advancing minimally invasive surgery training, with applications in robotic surgery and simulation-based curricula. By transforming how surgical proficiency is measured, Midorikawa has helped shape modern surgical pedagogy, enabling more precise feedback for trainees and improving patient safety outcomes.