Global research trends in robot-assisted spinal surgery: a visualized bibliometric analysis

This analysis demonstrates that the RASS field is evolving rapidly, with research leadership concentrated in the United States and China and a primary focus on improving the precision of pedicle screw placement. The identified trends underscore the need for future work to prioritize the deep integration of artificial intelligence into surgical workflows, the development of radiation-free navigation, and comprehensive evaluations of clinical feasibility and cost-effectiveness. These findings provide data-driven guidance for shaping clinical practice and strategic research planning.

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Publication Details

Journal
Journal of Robotic Surgery
Published
2025-11-11
DOI
https://doi.org/10.1007/s11701-025-02954-6
Citations
4
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
8.03
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article

Global research trends in robot-assisted spinal surgery: a visualized bibliometric analysis

Yujun Liu, Kui Sun, Huimin Huang, Ziyu Lian
4 citations
Journal of Robotic Surgery
Surgical Simulation and Training
8.03
article

Global research trends in robot-assisted spinal surgery: a visualized bibliometric analysis

Yujun Liu, Kui Sun, Huimin Huang, Ziyu Lian
article en
4 citations

Abstract

This analysis demonstrates that the RASS field is evolving rapidly, with research leadership concentrated in the United States and China and a primary focus on improving the precision of pedicle screw placement. The identified trends underscore the need for future work to prioritize the deep integration of artificial intelligence into surgical workflows, the development of radiation-free navigation, and comprehensive evaluations of clinical feasibility and cost-effectiveness. These findings provide data-driven guidance for shaping clinical practice and strategic research planning.

Journal of Robotic SurgeryVol. 20(1)
Guangzhou University of Chinese Medicine (CN), Zhongshan Hospital (CN)
Openalex Percentile: Top 2%
Surgical Simulation and Training
8.03
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