E. Willuth
Papers
4
Total Citations
69
H-Index
4
About
E. Willuth is a rising leader in surgical education and simulation, whose research focuses on the intersection of robotic-assisted surgery (RAS), laparoscopy, and objective skill assessment. Her work directly addresses how novice surgeons acquire technical proficiency, with a particular emphasis on the learning curve and crossover effects between robotic and laparoscopic techniques. In a landmark randomized crossover study, she demonstrated that robotic-assisted cholecystectomy is superior to laparoscopic cholecystectomy for surgical novices, a finding that has garnered 35 citations and reshaped training curricula. Willuth has also pioneered the use of force-based metrics for objective assessment of tissue handling in robotic simulation, providing validity evidence for a more rigorous, data-driven approach to surgical education. Her investigations into the crossover effects when surgeons switch between laparoscopic and robotic platforms reveal critical insights for training design. Additionally, she has surveyed EAES surgeons on the safe implementation of handheld steerable instruments, highlighting the need for structured training to mitigate learning curve challenges. With over 69 citations across her core publications, Willuth is establishing herself as a key voice in the evidence-based evolution of modern surgical training.
Research Focus
Key Achievements
Top Papers
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