Marco Vidotto
Papers
1
Total Citations
34
H-Index
1
About
Marco Vidotto is a leading researcher in surgical robotics and medical simulation, with a focus on optimizing training methodologies for robotic surgery. His work centers on the design and evaluation of performance-based adaptive curricula, addressing the critical gap in standardized training protocols. In his highly cited 2018 pilot study, Vidotto demonstrated that adaptive, performance-driven training can outperform traditional fixed-session or self-directed approaches, offering a more consistent and effective path to surgical proficiency. This contribution has garnered 34 citations, reflecting its impact on the field. By integrating real-time performance metrics into training systems, Vidotto’s research paves the way for personalized, evidence-based surgical education—a key step toward safer and more efficient robotic procedures. His work is particularly valuable for students and researchers interested in human-robot interaction, skill acquisition, and the future of minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1