Evolution of artificial intelligence in healthcare: a 30-year bibliometric study.

Journal: Frontiers in medicine
Published Date: Jan 15, 2025

Abstract

INTRODUCTION: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.

Authors

  • Yaojue Xie
    Yangjiang Bainian Yanshen Medical Technology Co., Ltd., Yangjiang, China.
  • Yuansheng Zhai
    Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Guihua Lu
    Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

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