Kazuki Ebihara

About

Kazuki Ebihara is a pioneering researcher in medical robotics and simulation-based training, with a focus on developing high-fidelity systems for neurologic examination and airway management. His most notable contributions include the creation of an arm robot for neurologic examination training, which provides novice medical staff with realistic, hands-on practice to improve diagnostic skills. Ebihara also led the development of the WKA series of airway management training systems, including the WKA-1RII and WKA-4, which integrate advanced robotic technology to replicate real patient conditions, such as tongue and mandible movements, and provide quantitative feedback on trainee performance. His work on a novel flow sensor for bag valve mask (BVM) operation further enhances training by capturing precise data on emergency rescue techniques. With over 58 citations across his key papers, Ebihara’s research has significantly impacted medical education by bridging the gap between theoretical knowledge and practical skill acquisition. His systems are recognized for their high-fidelity simulation and ability to improve training efficiency, making him a key figure in the advancement of robotic medical simulators for critical care and neurology training.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of an arm robot for neurologic examination training

   24 citations · 2012
2. 2
   Development of a 3D simulation which can provide better understanding of trainee's performance of the task using airway management training system WKA-1RII

   11 citations · 2011
3. 3
   Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms

   11 citations · 2011
4. 4
   Development of a novel flow sensor to acquire quantitative information on BVM operation during airway management training

   10 citations · 2011
5. 5
   Development of airway management training system WKA-4: Control system for simulation of real world condition of patient's motion

   2 citations · 2011

Key Collaborators

Contact & Links