Papers

11

Total Citations

251

H-Index

6

About

Henk W.R. Schreuder is a pioneering figure in robotic gynecologic surgery, whose work has fundamentally shaped how surgeons train for and adopt minimally invasive techniques. His research centers on surgical education, the learning curve for robotic procedures, and the clinical outcomes of robot-assisted surgery in gynecologic oncology and pelvic floor reconstruction. Schreuder’s major contributions include validating the first virtual reality simulator for robotic surgery (the dV-Trainer), establishing its face and construct validity in a highly cited 2014 study (61 citations). He has also rigorously analyzed the learning curve for complex procedures like robot-assisted laparoscopic radical hysterectomy for early-stage cervical cancer and sacrocolpopexy, using cumulative sum analysis to define competency benchmarks. His work on the Autolap system, an image-based robotic camera steering device, explores the frontier of semi-autonomous surgical assistance. With over 200 total citations, Schreuder’s impact is evident in his advocacy for structured, multidisciplinary training curricula, as highlighted in his 2016 paper on robotic training in the Netherlands. He has also published on rare complications, such as vesicovaginal fistula repair and de novo pain after mesh implants, demonstrating a commitment to comprehensive patient outcomes. Schreuder’s research provides essential evidence for safely integrating robotic technology into surgical practice.

Research Focus

Key Achievements

6
H-Index
11
Papers
251
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Validation of a Novel Virtual Reality Simulator for Robotic Surgery
61 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: University Medical Center Utrecht, Cancer Genomics Centre, Utrecht University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago