Byeong Jin Ha

Yonsei University, Hanyang University Guri Hospital

Papers

3

Total Citations

29

H-Index

3

About

Byeong Jin Ha is a spine surgeon and researcher whose work sits at the cutting edge of robotic-assisted spinal surgery, with a particular focus on pedicle screw fixation accuracy, surgical safety, and the comparative effectiveness of emerging technologies. His research addresses one of spine surgery's most critical challenges: achieving precise instrumentation while minimizing risk to patients. Ha's most influential contributions center on validating robotic guidance systems for spinal procedures. His multicenter study introducing a novel three-dimensional quantitative measurement framework for pedicle screw accuracy has garnered 12 citations since 2023, establishing a rigorous new standard for evaluating robotic surgical outcomes. Complementing this, his cadaveric investigation into robot-assisted cervical pedicle screw fixation — a technically demanding and high-risk procedure — demonstrated promising feasibility and safety with 11 citations. His propensity score-matched cohort study further strengthened the evidence base by directly comparing robotic, fluoroscopy-guided, and freehand techniques, helping to define where robotic surgery holds genuine clinical advantages. Collectively, Ha's work is shaping how the surgical community evaluates and adopts robotic spine technology, providing both the methodological tools and clinical evidence needed to guide responsible integration of these systems into modern practice.

Research Focus

Key Achievements

3
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Three-Dimensional Quantitative Assessment of Pedicle Screw Accuracy in Clinical Utilization of a New Robotic System in Spine Surgery: A Multicenter Study
12 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Yonsei University, Hanyang University Guri Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago