Hana Yokoi
Papers
1
Total Citations
30
H-Index
1
About
Dr. Hana Yokoi is a pioneering researcher at the intersection of robotic surgery and structured learning methodologies. Her work focuses on developing quantitative frameworks to assess and enhance surgical proficiency, particularly in minimally invasive robotic procedures. In her landmark pilot study, "Structured learning for robotic surgery utilizing a proficiency score" (2016, 30 citations), Dr. Yokoi introduced a novel scoring system that objectively measures surgical skill acquisition, enabling personalized training regimens for surgeons. This contribution has been foundational in shifting surgical education from subjective evaluation to data-driven performance metrics. Her research has direct implications for improving patient outcomes by standardizing surgical expertise. Dr. Yokoi’s work is widely cited by medical educators and robotic surgery specialists, reflecting its impact on both clinical practice and training paradigms. She continues to advance the field by integrating machine learning with surgical simulation, aiming to reduce operative errors and accelerate skill development. Her dedication to bridging engineering and medicine makes her a key figure in the evolution of next-generation surgical training.
Research Focus
Key Achievements
Top Papers
- 1