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Artificial intelligence in acupuncture: A bibliometric study.

Qiongyang Zhou1, Tianyu Zhao2, Kaidi Feng3

  • 1Department of Acupuncture and Moxibustion, The First People's Hospital of Wenling, Wenling 317500, China.

Mathematical Biosciences and Engineering : MBE
|June 16, 2023
PubMed
Summary
This summary is machine-generated.

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Artificial intelligence (AI) in acupuncture research has grown significantly, with the USA and China leading contributions. Future research will likely focus on machine learning and deep learning applications in acupuncture.

Area of Science:

  • Integrative and Complementary Medicine
  • Biomedical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • The integration of artificial intelligence (AI) into acupuncture research is an emerging field.
  • Understanding the knowledge structure, key players, and research trends is crucial for future development.

Purpose of the Study:

  • To map the global landscape of AI in acupuncture research.
  • To identify publication trends, leading institutions, and influential authors.
  • To pinpoint current hotspots and predict future research directions.

Main Methods:

  • Bibliometric analysis of publications sourced from the Web of Science database.
  • Examination of publication volume, country/institution contributions, author productivity and citation, and journal activity.
Keywords:
acupunctureartificial intelligencehotspotspublicationstrends

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  • Analysis of co-authorship, co-citation, and keyword co-occurrence to identify research themes.

    • Main Results:

    • The USA leads in publication volume, with Harvard University as a top institution.
    • Dey P and lczkowski KA are identified as highly productive and referenced authors, respectively.
    • The Journal of Alternative and Complementary Medicine is the most active journal; key topics include AI applications in acupuncture, with machine learning and deep learning as emerging hotspots.

    Conclusions:

    • AI in acupuncture research has seen substantial advancement over the past two decades.
    • The USA and China are major contributors, with research focus on AI applications.
    • Machine learning and deep learning are anticipated to be central to future acupuncture-AI research.