Application of artificial intelligence in the health management of chronic disease: bibliometric analysis.

Journal: Frontiers in medicine
Published Date:

Abstract

BACKGROUND: With the rising global burden of chronic diseases, traditional health management models are encountering significant challenges. The integration of artificial intelligence (AI) into chronic disease management has enhanced patient care efficiency, optimized treatment strategies, and reduced healthcare costs, providing innovative solutions in this field. However, current research remains fragmented and lacks systematic, comprehensive analysis.

Authors

  • Mingxia Pan
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Rong Li
    Department of Neurology, People's Hospital of Longhua, Shenzhen, China.
  • Junfan Wei
    Seventh Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.
  • Huan Peng
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Ziping Hu
    School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Yuanfang Xiong
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Yuqin Guo
    School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Weisheng Gu
    Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
  • Hanjiao Liu
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.

Keywords

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