Yves Van Nieuwenhove

Ghent University Hospital

Papers

3

Total Citations

56

H-Index

3

About

Yves Van Nieuwenhove is a researcher whose work sits at the intersection of surgical education, medical imaging, and human-machine interaction. His primary research areas include laparoscopic surgical training, video compression for medical applications, and the cognitive limits of robotic control systems. Van Nieuwenhove’s most impactful contribution is a 2013 systematic review comparing the effectiveness of laparoscopic training models, which has garnered 35 citations and remains a foundational resource for surgical educators seeking evidence-based approaches to skill acquisition outside the operating room. He further advanced the field by investigating the visual quality of H.264/AVC compressed laparoscopic video, a critical study for enabling tele-surgery and tele-collaboration by addressing the storage and bandwidth challenges of high-definition surgical video streams. In a more recent and provocative 2019 study, Van Nieuwenhove explored whether the human brain can effectively control seven degrees of freedom, pushing the boundaries of robotic surgery interface design. His work demonstrates a rare ability to bridge practical surgical needs with fundamental questions about human cognition, making him a valuable voice in the ongoing evolution of minimally invasive and robotic surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
56
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Training Models in Laparoscopy: a Systematic Review Comparing their Effectiveness in Learning Surgical Skills
35 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Ghent University Hospital

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago