Ivo de Blaauw

Radboud University Nijmegen

Papers

4

Total Citations

92

H-Index

4

About

Ivo de Blaauw is a surgical researcher whose work centers on minimally invasive surgery training, with a particular focus on the comparative learning dynamics of robot-assisted surgery (RAS) and conventional laparoscopy. His research addresses one of modern surgery's most pressing challenges: how surgeons can efficiently and safely acquire complex technical skills outside the operating room. De Blaauw's most influential contribution, "Robot assisted versus laparoscopic suturing learning curve in a simulated setting" (2019, 70 citations), provided critical insights into how these two surgical modalities differ in their skill acquisition trajectories — findings with direct implications for surgical curriculum design. Building on this foundation, he has conducted rigorous validity assessments of virtual reality simulation platforms, most notably the RobotiX simulator, establishing evidence-based benchmarks for both basic and advanced suturing tasks. His 2024 crossover study further explored the transferability of skills between RAS and conventional minimally invasive surgery, addressing the practical reality that today's surgeons must master multiple technical paradigms simultaneously. Through his work, de Blaauw has helped legitimize simulation-based training as a cornerstone of surgical education, offering educators and trainees validated, structured pathways to competency in an era of rapidly evolving surgical technology.

Research Focus

Key Achievements

4
H-Index
4
Papers
92
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Robot assisted versus laparoscopic suturing learning curve in a simulated setting
70 citations · 2019
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Radboud University Nijmegen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago