Misa Mi
Papers
1
Total Citations
20
H-Index
1
About
Misa Mi is a leading researcher in medical education and surgical training, with a particular focus on robotic surgery simulation. Her work systematically examines how simulation-based training can enhance the proficiency of both surgical residents and attending surgeons in minimally invasive procedures. Mi’s most cited paper, a 2022 systematic review protocol on the value of robotic surgery simulation, has garnered 20 citations and establishes a rigorous framework for evaluating training methods that use wet labs, dry labs, and virtual reality. This contribution is critical as robotic surgery becomes more prevalent, demanding evidence-based approaches to skill acquisition. Beyond this, Mi’s research addresses the broader integration of technology into surgical education, aiming to improve patient outcomes and reduce learning curves. Her work is notable for its methodological rigor and practical implications, directly informing how training programs design curricula for emerging surgical technologies. With a growing citation impact, Mi is recognized as a key voice in shaping the future of surgical training, bridging the gap between simulation science and clinical practice.
Research Focus
Key Achievements
Top Papers
- 1