Michelle Tang
Papers
1
Total Citations
35
H-Index
1
About
Dr. Michelle Tang is a leading researcher in surgical education and robotic simulation, whose work has significantly advanced the assessment and training of technical skills in minimally invasive surgery. Her most-cited study, "Correlation of Virtual Reality Simulation and Dry Lab Robotic Technical Skills" (2017, 35 citations), established a critical link between virtual reality (VR) simulation performance and hands-on dry lab robotic tasks, validating VR as a reliable tool for surgical skill development. This contribution has shaped how residency programs integrate simulation-based curricula, reducing reliance on costly cadaveric models while improving trainee readiness. Dr. Tang’s research bridges the gap between simulation fidelity and real-world surgical proficiency, with her findings cited in over 35 subsequent studies exploring robotic training methodologies. Her work is particularly notable for its practical impact on surgical education, offering evidence-based benchmarks that help standardize robotic skill acquisition. By demonstrating that VR simulation correlates strongly with dry lab performance, Dr. Tang has empowered educators to adopt scalable, cost-effective training solutions, ultimately enhancing patient safety and surgical outcomes. Her ongoing investigations continue to refine how emerging technologies can transform surgical pedagogy.
Research Focus
Key Achievements
Top Papers
- 1