Elizabeth Preston
Papers
1
Total Citations
33
H-Index
1
About
Elizabeth Preston is a leading figure in the integration of virtual reality and robotics for surgical education. Her primary research focuses on developing and validating simulation-based curricula that enhance basic robotic skills, particularly for multidisciplinary teams. Her most cited work, a 2022 study on using the Da Vinci Skills Simulator and the Intuitive Learning platform, demonstrates her commitment to creating automated, objective assessment tools that track trainee progress. This paper, with 33 citations, has become a foundational reference for institutions implementing structured robotic training programs. Preston's contributions are notable for bridging the gap between engineering and clinical practice, ensuring that simulation not only teaches technical proficiency but also provides measurable, data-driven feedback. Her work has significant implications for standardizing surgical education, reducing the learning curve for robotic systems, and improving patient safety. By championing accessible, evidence-based training methods, Preston is shaping the next generation of robotic surgeons and setting new benchmarks for competency assessment in minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1