Margaux Schmitt
Papers
1
Total Citations
8
H-Index
1
About
Margaux Schmitt is a researcher in surgical simulation and training, with a focus on robotic-assisted surgery. Her work centers on optimizing performance outcomes for surgeons using the da Vinci surgical system, particularly through the evaluation of different training exercises. Her most-cited paper, "The effect of different training exercises on the performance outcome on the da Vinci Skills Simulator" (2016), which has garnered 8 citations, provides critical insights into how structured simulation-based training can enhance technical proficiency in robotic surgery. By systematically comparing various exercises, Schmitt has contributed to evidence-based curricula that help surgeons develop the precise psychomotor skills required for minimally invasive procedures. Her research addresses a key challenge in surgical education: ensuring that training methods are both effective and efficient. Though her citation count is modest, her work is foundational for institutions integrating robotic simulation into their training programs. Schmitt's contributions are particularly valuable for medical educators and trainees seeking to improve surgical outcomes through deliberate practice and standardized assessment.
Research Focus
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Top Papers
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