Jon Weingart

Johns Hopkins University

Papers

2

Total Citations

34

H-Index

2

About

Dr. Jon Weingart is a leading spine surgeon whose research focuses on enhancing the safety and precision of robotic-assisted spinal surgery. His major contributions center on validating the clinical efficacy of robotic navigation platforms, particularly the ExcelsiusGPS system, for pedicle screw placement—a critical procedure in spinal fusion. In his landmark 2023 study, "Learning Curves for Robot-Assisted Pedicle Screw Placement," Dr. Weingart analyzed 234 cases to demonstrate that while robotic systems initially increase operative time, proficiency is rapidly achieved, ultimately improving efficiency and reducing complications. This work has garnered 22 citations, underscoring its influence on surgical training protocols. Expanding on this, his 2024 analysis of 728 screws achieved an exceptional accuracy rate of over 98%, identifying key predictors of misplacement and establishing benchmarks for clinical practice. With 12 citations in just one year, this study is shaping standards for robotic spine surgery. Dr. Weingart’s research bridges the gap between technological innovation and practical application, offering surgeons and residents a data-driven roadmap for adopting robotic assistance. His work is essential reading for anyone seeking to understand how robotics can minimize radiation exposure, shorten hospital stays, and improve patient outcomes in complex spinal procedures.

Research Focus

Key Achievements

2
H-Index
2
Papers
34
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curves for Robot-Assisted Pedicle Screw Placement: Analysis of Operative Time for 234 Cases
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago