Papers

4

Total Citations

56

H-Index

4

About

Masashi Neo is a spine surgeon and researcher whose work has significantly advanced the field of robotic and image-guided spinal surgery, with a particular focus on pedicle screw placement accuracy and surgical technology optimization. His research consistently explores how emerging guidance technologies — including robotic guidance systems (RGS) and image guidance systems (IGS) — can improve the precision and safety of complex spinal procedures, from thoracolumbar to the technically demanding cervical spine. Neo's foundational 2015 cadaveric study on robotic guidance system accuracy (42 citations) established an important benchmark in the field, providing rigorous evidence for RGS reliability at a time when clinical adoption was still nascent. Building on this work, his more recent investigations compare RGS with navigation-based IGS using sophisticated propensity score matching methodologies, and examine nuanced technical factors — such as landmark crater creation — that influence outcomes in robot-assisted scoliosis surgery. Together, these contributions form a coherent and clinically meaningful research portfolio. Neo's work appeals to spine surgeons, biomedical engineers, and residents seeking to understand the evolving landscape of surgical robotics. His dedication to rigorous, evidence-based evaluation of emerging technologies positions him as a thoughtful contributor to safer, more precise spinal surgery worldwide.

Research Focus

Key Achievements

4
H-Index
4
Papers
56
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy of Pedicle Screw Placement with Robotic Guidance System
42 citations · 2015
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Osaka Medical and Pharmaceutical University, Osaka University of Pharmaceutical Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago