TITLE:
A Bibliometric Analysis of the Application of Artificial Intelligence in Adolescent Idiopathic Scoliosis
AUTHORS:
Chenlu Rao, Jinming Wang, Xiaojuan Ma, Meiyuan Hu, Jiaxin Zhang, Ying Xu, Wenjuan Zhou
KEYWORDS:
Adolescent Idiopathic Scoliosis, Artificial Intelligence, Documentary Metrology, Research Trends, Multi-Center Cooperation
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.14 No.6,
June
11,
2026
ABSTRACT: Objective: This study aims to systematically analyze the research status, hot direction and development trend of AI-related literature in the field of AIS through the method of literature metrology, and provide reference for future research and clinical application. Method: Retrieve the AIS + AI literature as of May 6, 2026 in the Scopus database, and a total of 366 literatures were retrieved, and finally 134 literatures were included for analysis. Use literature metrology methods such as keyword co-analysis, cluster analysis and sudden word analysis to evaluate research hotspots, academic co-operation and development trends. Results: China and the United States occupy a central position in literature output and international cooperation, while Canada, Switzerland and some Asian countries play a bridge role. Core institutions include University of Alberta, Peking Union Medical College Hospital and The University of Hong Kong; core works Such as Lou, Edmond, Wong, Jason, Labelle, Hubert form the cooperation center. Keyword and cluster analysis shows that the research hotspots focus on AIS disease ontology, image evaluation, AI methods, spinal modeling, automatic seg-mentation and diagnostic prediction; keyword burst analysis shows that research has gradually evolved from algorithm development to clinical prediction and AI auxiliary tools. Conclusion: AI research in the field of AIS presents the trend of deepening multidisciplinary integration, enhancing international cooperation, clinical application orientation, iteration of technical methods and multi-center data sharing, providing theoretical and technical support for accurate diagnosis, individualized intervention and interdisciplinary collab-oration. This research systematically sorts out the academic status, hot spots and development trends of AIS AI research, and provides a reference basis for future research and clinical practice.