J. Delisle

McGill University, McGill University Health Centre

Papers

3

Total Citations

111

H-Index

3

About

J. Delisle is a leading researcher in the field of robotic surgical training and simulation, with a focus on developing and validating educational tools for minimally invasive surgery. Her major contributions center on the rigorous evaluation of simulation platforms to ensure they effectively prepare surgeons for robotic procedures. In her highly cited 2013 study, she established the face, content, and construct validity of the da Vinci Surgical Skills Simulator (dVSSS) across urology, gynecology, and general surgery, demonstrating that the simulator can distinguish between novice and experienced surgeons—a critical step for its adoption in training curricula. Her 2011 randomized controlled trial further advanced the field by showing that both virtual reality and hybrid simulation platforms can be adapted for robotic training, even in surgical novices. With over 100 citations across her key works, Delisle’s research has directly influenced how surgical programs integrate simulation-based education, improving patient safety and skill acquisition. Her work is notable for its interdisciplinary impact, bridging engineering, education, and clinical practice to shape the next generation of robotic surgeons.

Research Focus

Key Achievements

3
H-Index
3
Papers
111
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Validation of the da Vinci Surgical Skill Simulator across three surgical disciplines
57 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: McGill University, McGill University Health Centre

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago