Mohammad Zarrabian
Papers
1
Total Citations
5
H-Index
1
About
Mohammad Zarrabian is a leading researcher in the field of robotic-assisted spine surgery, with a focus on improving surgical precision and patient outcomes through quantitative analysis. His most impactful work, a comprehensive network meta-analysis comparing key performance metrics of major robotic platforms in spine surgery, evaluates data from 14,462 screws across multiple studies. This landmark 2025 study, already garnering 5 citations, provides critical insights into the accuracy, safety, and efficiency of different robotic systems, offering surgeons evidence-based guidance for technology selection. Zarrabian’s contributions are pivotal in advancing the standardization of robotic spine surgery, helping to reduce complication rates and enhance screw placement accuracy. His work bridges the gap between emerging surgical technologies and clinical practice, making him a key voice in the ongoing evolution of minimally invasive orthopedics. By systematically benchmarking robotic platforms, Zarrabian has laid the groundwork for future innovations in surgical robotics, directly impacting how spine procedures are performed and evaluated worldwide.
Research Focus
Key Achievements
Top Papers
- 1