Marco Martinez
Papers
1
Total Citations
14
H-Index
1
About
Marco Martinez is a leading researcher in surgical robotics and human-machine interaction, with a focus on optimizing training methodologies for robot-assisted minimally invasive surgery (RMIS). His most-cited work, "A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform" (2019, 14 citations), addresses a critical gap in surgical education by systematically evaluating whether virtual reality simulation and traditional dry lab training yield equivalent skill acquisition. This study is foundational for designing evidence-based curricula that balance cost, accessibility, and training efficacy. Martinez’s contributions extend to human-centric design, emphasizing how cognitive load and ergonomic factors influence surgeon performance. His research has practical implications for reducing training time and improving patient safety in robotic surgery. By bridging engineering and clinical practice, Martinez has influenced how surgical programs integrate simulation technologies. His work continues to shape the future of surgical training, making him a key voice in the advancement of RMIS education.
Research Focus
Key Achievements
Top Papers
- 1