Papers

3

Total Citations

44

H-Index

3

About

Philipp Dworschak is a leading researcher in the field of robotic surgery training and simulation. His work focuses on optimizing the acquisition of technical skills for surgeons using the da Vinci Surgical System, a cornerstone of modern minimally invasive surgery. Dworschak’s major contributions center on validating the da Vinci Skills Simulator as an effective training tool and investigating the most efficient methods for skill development. His highly cited 2016 study, with 23 citations, demonstrated that structured simulator training significantly improves the technical performance of robotic novices, establishing a critical evidence base for incorporating simulation into surgical curricula. Further influential work, including a 2017 study on training schedules and a 2016 analysis of different exercise types, has systematically explored how to maximize training outcomes. By rigorously evaluating time schedules and specific exercises, Dworschak has provided actionable insights for designing optimal training programs. His research is essential for educators and institutions aiming to enhance the proficiency and safety of surgeons entering the rapidly evolving field of robotic-assisted surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
44
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Structured training on the da Vinci Skills Simulator leads to improvement in technical performance of robotic novices
23 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Justus-Liebig-Universität Gießen, Universitätsklinikum Gießen und Marburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago