Lillian Xie

Papers

Total Citations

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About

Lillian Xie is a rising researcher in urological education and surgical skills assessment, with a focus on leveraging crowd-sourced methodologies to evaluate trainee performance. Her most cited work, "Crowd-Sourced Assessment of Surgical Skills of Urology Resident Applicants: Four-Year Experience" (2021), has garnered 5 citations, marking a foundational contribution to the field. In this study, Xie demonstrated how non-expert evaluators can reliably assess surgical skills in urology residency applicants, offering a scalable, cost-effective alternative to traditional expert-led evaluations. This work addresses a critical gap in surgical training—standardizing and democratizing assessment—and has implications for improving residency selection processes. Xie’s research bridges technology and medical education, highlighting the potential of crowd-sourcing to enhance objectivity and reduce bias. While early in her career, her contributions are already shaping conversations around competency-based training in urology. For students and researchers, Xie’s work exemplifies how innovative, data-driven approaches can transform surgical education, making it more equitable and rigorous. Her future studies are likely to further explore the intersection of artificial intelligence, crowd-sourcing, and surgical skill acquisition.