Bibliometric Evaluation of Research Utilizing Artificial Intelligence in Spinal Disorders - Takeaways - MDSpire

Bibliometric Evaluation of Research Utilizing Artificial Intelligence in Spinal Disorders

  • By

  • Fengyuan Liu

  • Chunyun Li

  • Yong Liu

  • Yufei Li

  • February 1, 2026

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  • 1

    Spinal disorders are a leading cause of pain and disability, significantly impacting public health and economic resources globally.

  • 2

    Traditional diagnostic methods for spinal diseases are subjective and prone to variability, leading to potential misdiagnoses.

  • 3

    Artificial intelligence, particularly deep learning, is increasingly utilized for medical image analysis and surgical navigation in spinal disorders.

  • 4

    Bibliometric analysis reveals trends and hotspots in research, providing insights into the applications of AI in spinal diseases.

  • 5

    The study analyzed 734 relevant publications on AI in spinal disorders from 2006 to 2025 using specialized bibliometric tools.

Original Source(s)

Bibliometric Evaluation of Research Utilizing Artificial Intelligence in Spinal Disorders

  • by Fengyuan Liu, Chunyun Li, Yong Liu, Yufei Li

  • February 1, 2026

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