Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis.

Journal: Medicine
PMID: 37746962

Abstract

BACKGROUND: The field of critical care-related artificial intelligence (AI) research is rapidly gaining interest. However, there is still a lack of comprehensive bibliometric studies that measure and analyze scientific publications on a global scale. Network charts have traditionally been used to highlight author collaborations and coword phenomena (ACCP). It is necessary to determine whether chord network charts (CNCs) can provide a better understanding of ACCP, thus requiring clarification. This study aimed to achieve 2 objectives: evaluate global research trends in AI in intensive care medicine on publication outputs, coauthorships between nations, citations, and co-occurrences of keywords; and demonstrate the use of CNCs for ACCP in bibliometric analysis.

Authors

  • Teng-Yun Cheng
    Department of Emergency Medicine, Chi-Mei Medical Center, Liouying, Tainan, Taiwan.
  • Sam Yu-Chieh Ho
    Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.
  • Tsair-Wei Chien
    Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan.
  • Willy Chou
    Department of Physical Medicine and Rehabilitation, Chi Mei Medical Center, Chiali.

Keywords

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