Torath Ameen

Papers

1

Total Citations

4

H-Index

1

About

Torath Ameen is a researcher whose work sits at the intersection of surgical education and robotic simulation, with a particular focus on validating training tools for minimally invasive procedures. Their most cited contribution, "MP51-17 THE ROBOTIX SIMULATOR: FACE AND CONTENT VALIDATION USING THE FUNDAMENTALS OF ROBOTIC SURGERY (FRS) CURRICULUM" (2017, 4 citations), co-authored with Ismail Omar, James Dilley, and others, demonstrates a commitment to ensuring that emerging robotic surgery simulators meet rigorous educational standards. By establishing face and content validity for the Robotix simulator against the established FRS curriculum, Ameen’s work helps bridge the gap between simulation-based training and real-world surgical competency. This research is critical for developing standardized, evidence-based training protocols that can improve patient safety and surgeon proficiency. While their citation count is modest, the targeted impact of this validation study underscores their role in advancing surgical simulation—a field where quality assurance directly influences clinical outcomes. Ameen’s contributions are particularly valuable for trainees and educators seeking reliable tools to master robotic surgery techniques in a low-risk environment.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
MP51-17 THE ROBOTIX SIMULATOR: FACE AND CONTENT VALIDATION USING THE FUNDAMENTALS OF ROBOTIC SURGERY(FRS)CURRICULUM
4 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago