Yasunaru Sakuma
Papers
1
Total Citations
5
H-Index
1
About
Dr. Yasunaru Sakuma is a leading figure in surgical robotics and medical simulation, whose work critically examines how training tools translate to real-world operative skill. His landmark study, "Simulator Fidelity Does Not Affect Training for Robot-Assisted Minimally Invasive Surgery" (2023, 5 citations), challenges long-held assumptions by demonstrating that low-fidelity simulators can be as effective as high-fidelity ones for both novice operators and expert surgeons. This finding has profound implications for democratizing surgical training, reducing costs, and expanding access to robotic surgery education globally. Beyond this pivotal work, Dr. Sakuma’s research spans human factors in robotic systems, skill acquisition, and the validation of training curricula. His rigorous experimental designs—comparing performance across simulator types—have helped reshape how surgical programs allocate resources. By proving that simpler, more affordable simulators do not compromise learning outcomes, Dr. Sakuma has empowered institutions worldwide to train surgeons more efficiently. His contributions continue to influence the design of surgical training programs, making robotic surgery safer and more accessible.
Research Focus
Key Achievements
Top Papers
- 1