Ahmed Hussein Ghazal
Papers
2
Total Citations
52
H-Index
2
About
Ahmed Hussein Ghazal is an emerging orthopedic surgery researcher whose work sits at the cutting edge of surgical technology and joint replacement outcomes. His scholarship focuses primarily on comparative surgical techniques in knee arthroplasty, with a particular emphasis on evaluating the clinical advantages of robotic-assisted surgery over conventional approaches. Ghazal's most influential contribution, a 2023 systematic review and meta-analysis comparing robotic-assisted versus conventional total knee arthroplasty, has already accumulated 39 citations — a remarkable achievement for a recently published study — and provides surgeons with critical evidence-based guidance on operative outcomes including range of motion, Oxford knee scores, and tourniquet time. Complementing this work, his comprehensive meta-analysis on robotic versus conventional unicompartmental knee surgery further cements his expertise in precision-guided joint replacement, garnering an additional 13 citations. Together, these studies reflect Ghazal's commitment to synthesizing high-quality evidence that directly informs surgical decision-making. His research is particularly valuable for orthopedic surgeons, trainees, and healthcare systems weighing investments in emerging robotic platforms, making his contributions both practically significant and scientifically rigorous.
Research Focus
Key Achievements
Top Papers
- 1
- 2
Key Collaborators
Related papers
- Robotic Versus Conventional Unicompartmental Knee Surgery: A Comprehensive Systematic Review and Meta-Analysis
- A Systematic Review and Meta-Analysis of Conventional Versus Robotic-Assisted Total Knee Arthroplasty
- Robotic-assisted versus conventional total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials
- Robot-Assisted versus Conventional Total and Unicompartmental Knee Arthroplasty: A Meta-analysis of Radiological and Functional Outcomes
- Comparative Efficacy and Precision of Robot-Assisted vs. Conventional Total Knee Arthroplasty: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Researchers in this area
Labs working in this area
- Advanced Robotic Technologies for Surgery (ARTS) Lab, University of Texas at AustinUnited States
- Medical Robotics and Computer Assisted Surgery Lab (MRCAS)United States
- Johns Hopkins University Medical Robotics LaboratoryUnited States
- Surgical Robotics LabNetherlands
- Surgical Robotics and Allied Technologies AreaItaly
Suggested by topic similarity — not advertising or endorsement.