Akihiro Hamada
Papers
3
Total Citations
18
H-Index
2
About
Dr. Akihiro Hamada is a pioneering researcher at the intersection of robotic surgery, haptic perception, and augmented reality (AR). His work primarily focuses on enhancing surgical precision and sensory feedback in robot-assisted laparoscopic procedures, particularly for partial nephrectomy. Dr. Hamada’s major contributions include the development of a 3D navigation system that integrates AR technology to overlay critical anatomical data onto the surgical field, improving spatial awareness and accuracy during kidney surgery. His most cited paper (2024, 9 citations) introduces a novel deep learning approach to estimate manipulation forces from laparoscopic images, addressing the critical challenge of absent haptics in robotic surgery. By making “pseudo-haptic feedback” explicit, this work enables surgeons to perceive tissue resistance through visual cues, potentially reducing errors and improving outcomes. With a total of 18 citations across his top papers, Dr. Hamada’s research is gaining traction for its practical impact on surgical training and real-time decision-making. His achievements highlight a commitment to translating computational methods into tangible tools that empower surgeons and elevate patient safety in minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
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