Papers

6

Total Citations

71

H-Index

5

About

Afshin Teymoortash is a pioneering surgeon whose work lies at the intersection of robotic surgery training and minimally invasive thyroid procedures. His research has fundamentally shaped how surgical teams acquire proficiency with robotic platforms, particularly through systematic investigations into the da Vinci Skills Simulator. Teymoortash’s landmark 2016 study, cited 23 times, demonstrated that structured simulator training leads to measurable improvements in technical performance among robotic novices, establishing evidence-based protocols for surgical education. He further refined these findings by evaluating different training schedules and exercise types, optimizing how surgeons build competence efficiently. In parallel, Teymoortash has been a leading voice in transoral endoscopic thyroidectomy (TOET), co-authoring a comprehensive systematic review that documented outcomes from over 477 patients worldwide, highlighting complication rates such as transient recurrent laryngeal nerve palsy (2.5%). His bi-center study provided critical benchmarks for this emerging technique. By also detailing the establishment of a transoral robotic surgery program at a German academic hospital, Teymoortash has offered a practical roadmap for institutions adopting these technologies. His work bridges simulation science and clinical innovation, making him a key figure in modern surgical training and minimally invasive head and neck surgery.

Research Focus

Key Achievements

5
H-Index
6
Papers
71
Total Citations
12
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 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Justus-Liebig-Universität Gießen, Philipps University of Marburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago