Jean‐Paul van Basten
Papers
1
Total Citations
16
H-Index
1
About
Jean-Paul van Basten is a pioneering researcher at the intersection of surgical robotics and objective performance assessment. His work focuses on developing quantitative methods to evaluate surgeon proficiency during robot-assisted procedures, particularly in urological oncology. Van Basten’s most influential contribution, “Analysis of the video motion tracking system ‘Kinovea’ to assess surgical movements during robot‐assisted radical prostatectomy” (2020, 16 citations), demonstrates a novel, low-cost approach to capturing and analyzing surgical motion data from existing robotic video feeds. By repurposing open-source software, he introduced a practical tool for measuring instrument kinematics, enabling objective skill evaluation without specialized hardware. This work has significant implications for surgical training, credentialing, and quality assurance, offering a scalable method to improve patient outcomes. Van Basten’s research bridges engineering and clinical practice, providing a foundation for data-driven feedback in minimally invasive surgery. His ongoing efforts continue to advance the field of surgical performance science, making robot-assisted procedures safer and more reproducible.
Research Focus
Key Achievements
Top Papers
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