Papers

1

Total Citations

68

H-Index

1

About

Dr. Mehdi Siddiqui is a leading figure in the field of robotic-assisted spine surgery, with a focused expertise in optimizing surgical precision and patient outcomes. His seminal work, "Robot-Assisted Pedicle Screw Placement: Learning Curve Experience" (2019), which has garnered 68 citations, is a cornerstone study that systematically evaluates the integration of robotic technology into complex spinal procedures. Dr. Siddiqui’s major contribution lies in demystifying the adoption curve for surgeons, demonstrating that robotic assistance can significantly enhance screw placement accuracy while reducing radiation exposure and operative time. By quantifying the learning process, his research provides a practical roadmap for surgical teams transitioning to minimally invasive techniques. This work has not only influenced clinical protocols but also sparked further investigation into the cost-effectiveness and long-term benefits of robotic systems in orthopedics. Dr. Siddiqui’s dedication to bridging engineering and medicine makes him a pivotal voice in the evolution of smart surgical tools, inspiring a new generation of researchers to explore the intersection of robotics and patient safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
68
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Pedicle Screw Placement: Learning Curve Experience
68 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Texas at San Antonio Health Science Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago