Camiel Rosman
Papers
10
Total Citations
263
H-Index
7
About
Camiel Rosman is a surgical researcher whose work sits at the intersection of minimally invasive surgery, robotic-assisted techniques, and surgical education. With a body of research spanning colorectal cancer, pancreatic surgery, and simulation-based training, Rosman has made meaningful contributions to understanding how surgeons acquire and transfer complex operative skills in the modern era. His most-cited work (70 citations) rigorously compared learning curves between robot-assisted and laparoscopic suturing, offering critical guidance for surgical training programs. Complementing this, his prospective cohort study of 378 colorectal cancer patients (52 citations) helped establish the oncological safety of robot-assisted colorectal surgery, lending vital clinical credibility to an emerging modality. A landmark multicenter analysis of minimally invasive distal pancreatectomy learning curves (40 citations) further underscores his commitment to patient safety during the adoption of complex techniques. Rosman has also tackled the economics of surgical innovation, developing an interactive tool to evaluate whether robotic surgery delivers genuine value for money (28 citations). His simulation research — validating virtual reality platforms like the RobotiX system and examining the role of 3D-vision during robotic anastomoses — reflects a broader ambition to make surgical training safer, more evidence-based, and reproducible. Across his portfolio, Rosman emerges as a thoughtful advocate for rigorous, data-driven adoption of advanced surgical technology.
Research Focus
Key Achievements
Top Papers
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- 4How can robot-assisted surgery provide value for money?28 citations · 2021
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