Yurina Sugamiya
Papers
3
Total Citations
7
H-Index
2
About
Yurina Sugamiya is a researcher specializing in medical simulation and robotics, with a focus on developing lifelike training systems for critical neonatal and neurological care. Her work centers on creating interactive, quantitative simulators that bridge the gap between theoretical knowledge and hands-on clinical practice. A key contribution is the design of a human-like motor nerve model that simulates disease effects on muscle tension for neurologic examination training, a tool that enhances trainees’ ability to master diagnostic skills through realistic, repeatable scenarios. Sugamiya has also advanced neonatal care by developing a neonatal airway management simulator for evaluating tracheal intubation, and a robot simulator for interactive training of neonatal cardio-pulmonary resuscitation. These systems aim to provide quantitative feedback, enabling physicians to refine techniques in high-stakes, low-incidence procedures. While her citation counts are modest—ranging from 1 to 4—her work addresses a pressing need for accessible, data-driven training tools in medical education. By integrating robotics and simulation, Sugamiya is paving the way for safer, more effective training in neonatal resuscitation and neurological assessment, ultimately improving patient outcomes through better-prepared clinicians.
Research Focus
Key Achievements
Top Papers
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