Omar El Ezzo

Agostino Gemelli University Polyclinic

Papers

1

Total Citations

6

H-Index

1

About

Omar El Ezzo is a rising figure in orthopedic surgery, with a focused expertise in the integration of robotic technology into joint arthroplasty. His primary research centers on the critical evaluation of surgical learning curves and the optimization of outcomes in robot-assisted knee procedures. El Ezzo’s major contribution lies in systematically assessing how surgeons adapt to advanced robotic systems, providing evidence-based insights that bridge the gap between technological innovation and clinical practice. His most-cited work, a 2025 systematic review on the learning curve in robot-assisted knee arthroplasty, has already garnered 6 citations, highlighting its immediate relevance to a field rapidly adopting robotic assistance for total and unicompartmental knee arthroplasties. This seminal review not only quantifies the proficiency gains required for accurate prosthetic implantation but also identifies strategies to mitigate complications, serving as a vital guide for surgical training and implementation. Through his rigorous analysis, El Ezzo is helping to define best practices for the next generation of orthopedic surgeons, ensuring that the promise of robotic precision translates into tangible patient benefits.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of the learning curve in robot‐assisted knee arthroplasty: A Systematic review
6 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Agostino Gemelli University Polyclinic

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago