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August 29, 2026International Journal of Medical Robotics and Computer Assisted SurgeryOpen Access

From Clinical Technique to Interprofessional Implementation and Intelligent Integration: A Bibliometric Analysis of the Interdisciplinary Expansion of Robot‐Assisted Spine Surgery

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Authors

XWXiaoping WangYYYingdi YuanQDQifei Duan

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Overview

Bibliometric analysis reveals an evolving focus toward artificial intelligence and perioperative care in robot-assisted spine surgery literature, highlighting rapid interdisciplinary expansion.

Key Points

  • To systematically characterize the interdisciplinary expansion of robot-assisted spine surgery research across perioperative, educational, and artificial intelligence-driven domains.
  • Analyzed 327 publications from the Web of Science Core Collection published between 2006 and 2026 focusing on robot-assisted spine surgery in perioperative, collaborative, or educational contexts.
  • Conducted network analysis, co-citation mapping, keyword co-occurrence, citation-burst detection, Callon strategic mapping, and dual-map overlays using VOSviewer, CiteSpace, and Bibliometrix.
  • Publication volume peaked at 62 articles in 2025, with the United States (n = 137) and China (n = 57) contributing the highest research volume.
  • Citation burst detection identified artificial intelligence (burst strength = 3.13), deep learning (2.01), and augmented reality (1.75) as primary research frontiers from 2023 to 2025.
  • Literature flows shifted toward broad health, nursing, and medicine disciplines, though rehabilitation robotics remained bibliographically isolated from core surgical research.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a9299338e5d7d1fc0c1106bhttps://doi.org/10.1002/rcs.70229
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