Artificial intelligence in autoimmune diseases: a bibliometric exploration of the past two decades.

Journal: Frontiers in immunology
PMID: 40330462

Abstract

OBJECTIVE: Autoimmune diseases have long been recognized for their intricate nature and elusive mechanisms, presenting significant challenges in both diagnosis and treatment. The advent of artificial intelligence technology has opened up new possibilities for understanding, diagnosing, predicting, and managing autoimmune disorders. This study aims to explore the current state and emerging trends in the field through bibliometric analysis, providing guidance for future research directions.

Authors

  • Sidi Liu
    Infection Control Center, Xiangya Hospital of Central South University, 87 Xiangya Road, Changsha, 410008, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Ming Li
    Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
  • Shuangshuang Shang
    Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Yunxiang Cao
    Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Xi Shen
    University of Pennsylvania, Annenberg School for Communication.
  • Chuanbing Huang
    Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.

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