Bas Kengen
Papers
1
Total Citations
50
H-Index
1
About
Bas Kengen is a prominent figure in the field of robotic surgery, with a focused expertise in surgical simulation, skills assessment, and training methodologies. His major contribution lies in pioneering the use of the da Vinci Skills Simulator to systematically evaluate learning curves and establish criterion-based benchmarks for robotic basic skills. This foundational work, detailed in his highly cited 2013 paper (50 citations), has provided a rigorous, evidence-based framework for training surgeons, moving beyond subjective evaluation to objective, repeatable metrics. By demonstrating how simulation can be used to define proficiency thresholds, Kengen’s research has directly shaped modern robotic surgery curricula, ensuring that trainees achieve a validated level of competence before operating on patients. His work is instrumental in enhancing patient safety and standardizing surgical education, making him a key contributor to the advancement of minimally invasive robotic techniques.
Research Focus
Key Achievements
Top Papers
- 1