Daohai Yu

Clinical Research Institute

Papers

1

Total Citations

34

H-Index

1

About

Daohai Yu is a researcher whose work bridges cognitive science, simulation-based training, and surgical education. His key research areas include the impact of prior video game experience on technical skill acquisition, particularly in robotic surgery and laparoscopic training. Yu’s most cited study, "Prior video game utilization is associated with improved performance on a robotic skills simulator" (2016, 34 citations), demonstrates that individuals with gaming backgrounds exhibit enhanced psychomotor abilities—such as hand-eye coordination and spatial reasoning—when performing complex robotic tasks. This finding has significant implications for surgical training curricula, suggesting that video game exposure may serve as a low-cost, accessible predictor of aptitude in minimally invasive procedures. Yu’s work contributes to a growing body of evidence that nontraditional experiences can influence performance in high-stakes medical environments. By quantifying these correlations, he helps educators design more effective, personalized training pathways. His research remains influential among scholars studying skill transfer, simulation fidelity, and the cognitive demands of modern surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Prior video game utilization is associated with improved performance on a robotic skills simulator
34 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Clinical Research Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago