Papers

6

Total Citations

123

H-Index

4

About

Scott L. Zuckerman is a leading spine surgeon and researcher whose work is transforming the field of robot-assisted spine surgery. His key research areas include robotic surgical accuracy, patient-reported outcomes, and the comparative effectiveness of different robotic systems. Dr. Zuckerman has made major contributions by conducting large-scale, multicenter studies that provide robust evidence for the safety and efficacy of robotic techniques. For instance, his propensity-matched analysis of 2,800 screws across 372 patients (49 citations) demonstrated no significant difference between navigated and non-navigated robot cohorts, while his 5-year trend study (41 citations) tracked evolving outcomes and complications. He also performed a head-to-head comparison of the Mazor X and Renaissance systems (21 citations), evaluating screw accuracy, robot time, and radiation exposure. Notably, his work on patient-reported outcomes after multi-level lumbar fusion showed that robot-assisted techniques can achieve results comparable to freehand methods. With a growing citation record and a focus on evidence-based innovation, Zuckerman is helping to define the future of precision spine surgery.

Research Focus

Key Achievements

4
H-Index
6
Papers
123
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Is there a difference between navigated and non-navigated robot cohorts in robot-assisted spine surgery? A multicenter, propensity-matched analysis of 2,800 screws and 372 patients
49 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Columbia University Irving Medical Center, Texas Health Dallas, Vanderbilt University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago