Papers
7
Total Citations
76
H-Index
5
About
A. Masie Rahimi is a leading researcher in the field of surgical simulation and training, with a specific focus on robotic-assisted surgery and laparoscopy. Her work centers on developing and validating objective methods for assessing technical skills, addressing the critical gap between traditional surgical training and the demands of modern, minimally invasive techniques. Her most impactful contribution is a comprehensive systematic review on training modalities and assessment methods in robotic surgery, which has garnered 32 citations and serves as a foundational resource for the field. Rahimi has also provided key validity evidence for force-based assessments of tissue handling, demonstrating how objective metrics can improve skill evaluation. Her research uniquely explores the crossover effects between laparoscopic and robotic skills, offering insights into how surgeons can safely transition between these approaches. Additionally, she has contributed to the safe implementation of novel instruments, such as handheld steerable tools, and has designed innovative ergonomic solutions, including a smart dynamic arm support to reduce surgeon fatigue. With a growing body of work that bridges simulation, ergonomics, and objective assessment, Rahimi is shaping the future of surgical education and patient safety.
Research Focus
Key Achievements
Top Papers
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- 6The value of collision feedback in robotic surgical skills training3 citations · 2024
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