Purpose <p>Pedicle screw placement is transitioning from traditional navigation to an “Intelligence Era.” This study aims to map the evolutionary trajectory of intelligent pedicle screw placement, identifying the paradigm shift from mechanical validation to multi-modal integration, and to uncover the underlying clinical drivers and future technological frontiers.</p> Methods <p>A systematic bibliometric analysis was conducted using VOSviewer and CiteSpace. Literature was retrieved from the Web of Science Core Collection (WoSCC), focusing on the transformative period from 2019 to 2026. Following PRISMA guidelines, 474 core articles were included. Analyses encompassed annual publication trends, institutional collaboration, keyword clustering, and citation bursts.</p> Results <p>The knowledge base is objectively delineated into two parallel domains: technology-centric hardware systems and pathology-centric clinical scenarios (e.g., minimally invasive surgery and osteoporosis). Longitudinal analysis reveals a structural transition. Early research was quantitatively dominated by mechanical execution metrics, with “accuracy” (frequency = 211) as the primary focus. Subsequently, the focus shifted toward implementation barriers, evidenced by strong bursts in “risk factors” (strength = 2.97), “complications,” and “cost of care.” The latest emergent indicators are exclusively led by multi-modal technologies, prominently featuring “augmented reality,” “artificial intelligence,” and “5G network.”</p> Conclusion <p>The field has fundamentally shifted from validating geometric precision to managing systemic complexities and patient-specific risks. The synergistic integration of augmented reality for in-situ visualization, artificial intelligence for cognitive planning, and 5G networks for remote connectivity represents the ultimate paradigm shift to overcome current ergonomic barriers and steep learning curves.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Global analysis and prospects of assisted pedicle screw placement surgery: a bibliometric study

  • Qiwen Bao,
  • Xuan Tang,
  • Xiao Gu,
  • Jingtao Peng,
  • Xiang Yao

摘要

Purpose

Pedicle screw placement is transitioning from traditional navigation to an “Intelligence Era.” This study aims to map the evolutionary trajectory of intelligent pedicle screw placement, identifying the paradigm shift from mechanical validation to multi-modal integration, and to uncover the underlying clinical drivers and future technological frontiers.

Methods

A systematic bibliometric analysis was conducted using VOSviewer and CiteSpace. Literature was retrieved from the Web of Science Core Collection (WoSCC), focusing on the transformative period from 2019 to 2026. Following PRISMA guidelines, 474 core articles were included. Analyses encompassed annual publication trends, institutional collaboration, keyword clustering, and citation bursts.

Results

The knowledge base is objectively delineated into two parallel domains: technology-centric hardware systems and pathology-centric clinical scenarios (e.g., minimally invasive surgery and osteoporosis). Longitudinal analysis reveals a structural transition. Early research was quantitatively dominated by mechanical execution metrics, with “accuracy” (frequency = 211) as the primary focus. Subsequently, the focus shifted toward implementation barriers, evidenced by strong bursts in “risk factors” (strength = 2.97), “complications,” and “cost of care.” The latest emergent indicators are exclusively led by multi-modal technologies, prominently featuring “augmented reality,” “artificial intelligence,” and “5G network.”

Conclusion

The field has fundamentally shifted from validating geometric precision to managing systemic complexities and patient-specific risks. The synergistic integration of augmented reality for in-situ visualization, artificial intelligence for cognitive planning, and 5G networks for remote connectivity represents the ultimate paradigm shift to overcome current ergonomic barriers and steep learning curves.