Papers
19
Total Citations
733
H-Index
13
About
C. Perrenot is a leading researcher in robotic surgery, with a particular focus on telesurgery, surgical simulation, and the long-term outcomes of robotic-assisted procedures. Their work has been instrumental in defining the acceptable latency levels for telesurgery, demonstrating that delays of up to 300-400 ms do not significantly impair performance, a finding critical for the future of remote surgical care. Perrenot also pioneered the validation of the dV-Trainer® simulator, proving its effectiveness as an assessment tool for robotic surgical skills, with their seminal 2012 paper accumulating 177 citations. Their research extends to clinical applications, notably in colorectal surgery, where they have published extensively on the long-term outcomes of robot-assisted laparoscopic rectopexy for rectal prolapse, including in elderly patients. With a total of over 600 citations across their most-cited works, Perrenot’s contributions have shaped both the technical standards and training methodologies in robotic surgery. Their work on integrated video recording systems and team training simulators further underscores their commitment to advancing surgical education and patient safety.
Research Focus
Key Achievements
Top Papers
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- 4Residency training in robotic surgery: The role of simulation47 citations · 2020
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