Cheng Fan

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About

Cheng Fan is a researcher specializing in surgical education, simulation technology, and robot-assisted surgery, with a particular focus on the intersection of virtual reality and surgical training. His most notable contribution is a rigorous systematic review and meta-analysis examining the value of virtual reality simulators in robot-assisted surgery, exploring critical questions around skill transfer and the predictability of surgical competence. Published in 2021, this work has garnered 93 citations, reflecting its significant influence on how surgical educators and training programs evaluate and adopt VR-based simulation tools. By synthesizing existing evidence on whether skills acquired in virtual environments meaningfully translate to real operating room performance, Fan's research addresses a fundamental challenge in modern surgical education — how to train surgeons effectively, safely, and efficiently before they operate on patients. His work provides evidence-based guidance for institutions investing in robotic surgery training infrastructure, making it particularly relevant as robot-assisted procedures become increasingly prevalent worldwide. For students and researchers in medical education, surgical simulation, or healthcare technology, Fan's scholarship represents an important benchmark in understanding how emerging simulation technologies can be validated and responsibly integrated into clinical training pipelines.