Mathieu Roussin

Papers

Total Citations

H-Index

About

Mathieu Roussin is a surgeon and researcher whose work focuses on advancing minimally invasive surgical techniques, particularly in the realm of robotic-assisted procedures. His major contributions center on understanding and improving the learning curve for complex surgical skills, with a specific emphasis on robotic-assisted anastomosis. In his most cited study, "Learning Curve of Robotic-Assisted Anastomosis: Shorter than the Laparoscopic Technique? An Educational Study" (2016, 28 citations), Roussin provides critical insights into how surgeons can more efficiently acquire proficiency in robotic methods compared to traditional laparoscopic approaches. This work has practical implications for surgical training programs, helping to optimize curriculum design and reduce operative times. By demonstrating that robotic-assisted techniques may offer a shorter learning curve, Roussin’s research supports the broader adoption of robotic surgery, potentially improving patient outcomes and expanding access to advanced procedures. His findings are particularly valuable for educators and trainees seeking evidence-based benchmarks for skill acquisition.