Ismail Omar

Papers

1

Total Citations

4

H-Index

1

About

Ismail Omar is a researcher focused on surgical simulation and robotic surgery training, with a particular emphasis on validating tools that enhance surgical education. His major contribution lies in the rigorous assessment of simulation platforms, as demonstrated in his highly cited work, "MP51-17 THE ROBOTIX SIMULATOR: FACE AND CONTENT VALIDATION USING THE FUNDAMENTALS OF ROBOTIC SURGERY (FRS) CURRICULUM" (2017, 4 citations). This study, co-authored with James Dilley, Philip Pucher, and others, established the Robotix Simulator’s credibility by confirming its face and content validity against the established FRS curriculum—a critical step for integrating simulators into training programs. Omar’s work directly addresses the need for standardized, evidence-based training tools in robotic surgery, impacting how surgeons develop skills before operating on patients. His research underscores a commitment to improving patient safety and surgical proficiency through validated simulation, making him a key voice in surgical technology assessment. With a focus on practical, curriculum-aligned validation, Omar’s contributions help shape the future of robotic surgery education, bridging the gap between simulation and clinical readiness.

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 · 12 days ago