Artificial Intelligence in Chronic Obstructive Pulmonary Disease: Research Status, Trends, and Future Directions --A Bibliometric Analysis from 2009 to 2023.

Journal: International journal of chronic obstructive pulmonary disease
PMID: 39185394

Abstract

OBJECTIVE: A bibliometric analysis was conducted using VOSviewer and CiteSpace to examine studies published between 2009 and 2023 on the utilization of artificial intelligence (AI) in chronic obstructive pulmonary disease (COPD).

Authors

  • Hupo Bian
    Department of Radiology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
  • Shaoqi Zhu
    Department of Endocrinology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
  • Yonghua Zhang
    Department of Radiology, The Wuxing District People's Hospital, Huzhou, Zhejiang, People's Republic of China.
  • Qiang Fei
    Department of Radiology, The Linghu People's Hospital, Huzhou, Zhejiang, People's Republic of China.
  • Xiuhua Peng
    Department of Radiology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
  • Zanhui Jin
    Department of Radiology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
  • Tianxiang Zhou
    Department of Urinary Surgery, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
  • Hongxing Zhao
    Department of Radiology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.

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