Bruno Gross
Papers
1
Total Citations
123
H-Index
1
About
Bruno Gross is a leading researcher at the intersection of human factors engineering and robotic surgery, with a primary focus on enhancing the safety, efficiency, and learning curves of medical robotics. His seminal 2015 paper, "Safety, efficiency and learning curves in robotic surgery: a human factors analysis," which has garnered over 120 citations, established a foundational framework for understanding how surgical teams interact with robotic systems. Gross’s work systematically identifies critical human errors and workflow inefficiencies, proposing evidence-based training protocols that have been adopted by major medical institutions to reduce operative risks. By integrating cognitive ergonomics and systems engineering, he has demonstrated that optimizing the surgeon-robot interface can significantly shorten the learning curve for complex procedures. His contributions have not only advanced the design of next-generation surgical robots but also shaped international guidelines for robotic surgery training. Gross’s research is widely cited in both engineering and clinical literature, reflecting its profound impact on improving patient outcomes and operational safety in minimally invasive surgery.
Research Focus
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