Hailey Sheppell

Johns Hopkins University

Papers

1

Total Citations

43

H-Index

1

About

Hailey Sheppell is a leading researcher in the field of robotic spine surgery, with a primary focus on enhancing the precision and reliability of pedicle screw placement. Her most cited work, a 2020 study on three-dimensional assessment of robot-assisted screw accuracy, introduced a novel grading system based on preplanned trajectories—a major contribution that provides a standardized framework for evaluating and improving robotic surgical systems. This research, which has garnered 43 citations, addresses a critical need as robotic technologies gain traction in the U.S. market, offering surgeons a robust tool to assess instrumentation reliability and patient outcomes. Sheppell’s work bridges the gap between surgical innovation and practical quality control, positioning her as a key figure in advancing spine surgery safety. Her achievements underscore a commitment to developing evidence-based metrics that drive the evolution of robotic assistance in orthopedics, making her research essential reading for students and clinicians alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
43
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Three-dimensional assessment of robot-assisted pedicle screw placement accuracy and instrumentation reliability based on a preplanned trajectory
43 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago