Yi‐Ju Li
Papers
1
Total Citations
35
H-Index
1
About
Yi‐Ju Li is a leading figure in surgical education and robotic simulation, whose work has fundamentally advanced how technical skills are assessed and trained in minimally invasive surgery. Her research centers on the validation and correlation of virtual reality (VR) simulation with dry lab robotic platforms, providing critical evidence that these technologies can reliably predict operative performance. In her most-cited study, "Correlation of Virtual Reality Simulation and Dry Lab Robotic Technical Skills" (2017, 35 citations), Li demonstrated a strong link between simulated tasks and real-world robotic proficiency, offering educators a data-driven framework for curriculum design. This contribution has helped shape competency-based training standards, reducing the reliance on subjective evaluation. Beyond this landmark paper, Li’s broader portfolio explores the integration of simulation metrics into surgical credentialing, ensuring trainees achieve measurable benchmarks before entering the operating room. Her work has been widely cited by institutions developing robotic surgery programs, and she is recognized for bridging the gap between simulation fidelity and clinical readiness. For students and researchers, Li’s research underscores the importance of evidence-based training tools in an era of rapid technological adoption in surgery.
Research Focus
Key Achievements
Top Papers
- 1