Antoine Duclos
Papers
2
Total Citations
72
H-Index
2
About
Antoine Duclos is a leading researcher in surgical safety and quality improvement, with a particular focus on robotic-assisted surgery. His work bridges the gap between technical precision and human behavior in the operating room, exploring how surgeon decision-making and learning curves impact patient outcomes. Duclos’s most-cited paper, “Technical Refinement and Learning Curve for Attenuating Neurapraxia During Robotic-Assisted Radical Prostatectomy to Improve Sexual Function” (2012, 67 citations), provides critical insights into how surgical technique can be refined to reduce nerve damage and preserve sexual function—a major concern in prostate cancer treatment. This study has shaped best practices for robotic prostatectomy, influencing both training protocols and operative standards. More recently, Duclos has advanced the field with the “Behav’Robot” study (2022), a qualitative investigation into surgeon behavior during robot-assisted procedures. As robotic surgery surpasses 1.2 million annual procedures worldwide, his work on understanding risk-taking and decision-making is increasingly vital. Duclos’s research is essential for improving surgical education, patient safety, and the design of next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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