Engy Mui
Papers
1
Total Citations
28
H-Index
1
About
Engy Mui is a researcher whose work sits at the intersection of urological surgery, medical education, and simulation-based training. Her most-cited study, a 2016 investigation into the workload profiles of urology residents, demonstrated that performing live porcine nephrectomies and engaging with robotic surgery virtual reality training modules impose comparable cognitive and physical demands. This finding, cited 28 times, has significant implications for how surgical training curricula are designed, suggesting that high-fidelity virtual reality can effectively replicate the stress and complexity of live procedures without the ethical and logistical challenges of animal models. Mui’s contributions help validate simulation as a safe, scalable tool for developing surgical competency, potentially reducing reliance on animal labs while ensuring residents are adequately prepared for the operating room. Her work speaks directly to educators and trainees seeking evidence-based approaches to skill acquisition in minimally invasive surgery. By quantifying workload equivalence, Mui provides a crucial benchmark for integrating virtual reality into residency programs, ultimately advancing patient safety and surgical education.
Research Focus
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Top Papers
- 1