Artificial intelligence empowering rare diseases: a bibliometric perspective over the last two decades.

Journal: Orphanet journal of rare diseases
Published Date: Sep 13, 2024

Abstract

OBJECTIVE: To conduct a comprehensive bibliometric analysis of the application of artificial intelligence (AI) in Rare diseases (RDs), with a focus on analyzing publication output, identifying leading contributors by country, assessing the extent of international collaboration, tracking the emergence of research hotspots, and detecting trends through keyword bursts.

Authors

  • Peiling Ou
    7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University, (Third Military Medical University), 30 Gao Tan Yan St, Chongqing, 400038, China.
  • Ru Wen
    Medical College, Guizhou University, Guizhou, 550000, People's Republic of China.
  • Linfeng Shi
    7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University, (Third Military Medical University), 30 Gao Tan Yan St, Chongqing, 400038, China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Chen Liu
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.

Keywords

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