Tom Tuyten

Apple (Israel)

Papers

1

Total Citations

10

H-Index

1

About

Tom Tuyten is a leading researcher in robotic surgical education and assessment, whose work focuses on refining how surgical proficiency is measured and validated. His major contributions center on the rigorous evaluation of training outcome metrics, particularly through comparative analyses of established tools like the Global Evaluative Assessment of Robotic Skills (GEARS) and emerging binary scoring systems. In his most-cited 2023 study, Tuyten demonstrated the reliability, sensitivity, and specificity of these assessment methods in a randomized controlled trial, providing crucial evidence for their use in robotic surgery training. This work has garnered 10 citations and directly addresses the need for objective, reproducible benchmarks in surgical education. By systematically comparing GEARS Likert-scale evaluations with binary metrics, Tuyten has helped shape best practices for assessing trainee competence, ensuring that future surgeons meet high standards of technical skill. His research is pivotal for institutions developing robotic surgery curricula and for advancing patient safety through validated performance metrics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Discrimination, Reliability, Sensitivity, and Specificity of Robotic Surgical Proficiency Assessment With Global Evaluative Assessment of Robotic Skills and Binary Scoring Metrics: Results From a Randomized Controlled Trial
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Apple (Israel)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago