Gerard Marciano

Columbia University Irving Medical Center

Papers

5

Total Citations

59

H-Index

4

About

Gerard Marciano’s research sits at the cutting edge of robotic-assisted spine surgery, where he systematically evaluates how technology impacts patient outcomes. His work focuses on three critical areas: screw placement accuracy, intraoperative complications, and long-term clinical results. In a landmark multicenter study of 320 patients, he demonstrated that robot-related complications do not significantly increase 1-year reoperation rates, providing crucial safety data for the field. His propensity-matched analysis of 1,179 robot-assisted screws (21 citations) directly compared the Mazor X and Renaissance systems, revealing differences in screw accuracy, operative time, and radiation exposure that guide surgical decision-making. Marciano also showed that robot-assisted multilevel lumbar fusion achieves superior patient-reported outcomes compared to free-hand techniques, with 2-year follow-up data. Notably, his early work explored using robotics to develop linguistic and logical abilities in primary school children, showcasing a broader vision for the technology. With over 50 total citations, Marciano’s research is essential reading for spine surgeons adopting robotic platforms.

Research Focus

Key Achievements

4
H-Index
5
Papers
59
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Do robot-related complications influence 1 year reoperations and other clinical outcomes after robot-assisted lumbar arthrodesis? A multicenter assessment of 320 patients
21 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Columbia University Irving Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago