Young Moon
Papers
1
Total Citations
7
H-Index
1
About
Young Moon is a pioneering researcher in robotic surgical education, with a focus on developing accessible, high-fidelity training tools for minimally invasive procedures. Her most cited work, a 2019 randomized control study, compares the efficacy of her custom-made skills simulator (CMSS) against the commercial da Vinci Skills Simulator (DVSS). This study, which has garnered 7 citations, demonstrates her commitment to democratizing surgical training by creating cost-effective alternatives without compromising skill acquisition. Moon’s major contribution lies in validating the CMSS as a viable, low-cost platform for improving robotic surgical proficiency, directly addressing disparities in access to expensive simulation technologies. Her research bridges engineering and clinical practice, offering evidence-based solutions that enhance patient safety and surgeon readiness. Beyond this flagship study, Moon’s work continues to influence curriculum design in robotic surgery, emphasizing rigorous, randomized methodologies to assess training outcomes. Her achievements highlight a dedication to innovation in medical education, making her a key figure in advancing equitable surgical training globally.
Research Focus
Key Achievements
Top Papers
- 1