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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
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Global research trends in robot-assisted spinal surgery: a visualized bibliometric analysis.
Hailun Huang1, Ziyu Lian1, Yong'ai Liu2
1Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, Zhongshan City, Guangdong Province, China.
Journal of Robotic Surgery
|November 11, 2025
Summary
Robotic-assisted spinal surgery (RASS) research is rapidly advancing, led by the US and China, focusing on pedicle screw placement accuracy. Future directions include AI integration and radiation-free navigation for improved clinical practice.
Area of Science:
- Bibliometric analysis of global research trends in robotic-assisted spinal surgery (RASS).
- Mapping the knowledge structure, core hotspots, and evolutionary trajectory of RASS research.
Background:
- The field of robotic-assisted spinal surgery (RASS) has seen significant growth since its inception.
- Existing literature lacks a systematic integration of global research dynamics and core themes in RASS.
Purpose of the Study:
- To systematically analyze global research trends, knowledge structure, core hotspots, and evolutionary paths in RASS.
- To provide data-driven decision support for clinical practice and research planning in RASS.
Main Methods:
- Bibliometric analysis of 399 articles from the Web of Science Core Collection (1997-2025).
- Quantitative and visual analysis using CiteSpace, VOSviewer, and Excel.
- Co-occurrence, clustering, timeline, and burst detection analyses of various research components.
Main Results:
- RASS research entered a rapid development phase after 2017, with a peak of 53 articles in 2022.
- The United States and China are leading contributors; Germany shows the highest average citation rate.
- Key research areas include accuracy, navigation, and pedicle screw placement, with AI integration and radiation-free navigation as emerging frontiers.
Conclusions:
- The RASS field is rapidly evolving, with a focus on enhancing pedicle screw placement precision.
- Future research should prioritize AI integration, radiation-free navigation, and cost-effectiveness evaluations.
- Findings offer data-driven guidance for clinical practice and strategic research planning in RASS.
