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Artificial Intelligence in Dementia: A Bibliometric Study.

Chieh-Chen Wu1,2, Chun-Hsien Su2,3, Md Mohaimenul Islam4

  • 1Department of Healthcare Information and Management, School of Health Technology, Ming Chuan University, Taipei 333, Taiwan.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) is increasingly used in dementia research, with a notable surge in publications since 2018. This bibliometric analysis maps key contributors and trends in AI for dementia care.

Keywords:
Alzheimer’s diseaseartificial intelligencedeep learningdementiamachine learning

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Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Artificial intelligence (AI) applications in dementia research are rapidly expanding.
  • A comprehensive understanding of the research landscape is needed to guide future studies.
  • Bibliometric analysis provides insights into publication trends, key contributors, and emerging topics.

Purpose of the Study:

  • To provide a comprehensive overview of AI and dementia research through bibliometric analysis.
  • To identify key researchers, institutions, countries, and trending topics in the field.
  • To suggest future research directions for AI in dementia.

Main Methods:

  • A systematic search of the Web of Science database was conducted until May 16, 2023.
  • Bibliometric indicators were used to analyze relevant and highly cited articles.
  • The Bibliometrix tool was employed for network visualization of authors, institutions, countries, citations, and keywords.

Main Results:

  • A total of 1094 articles were published between 1997 and 2023, showing an increasing trend.
  • The United States, China, and India were the most productive countries.
  • Boston University, Columbia University, and the University of Granada were leading institutions, with Gorriz JM, Ramirez J, and Salas-Gonzalez D as most active authors.

Conclusions:

  • Research on AI in dementia has significantly increased since 2018.
  • Key contributors and trending topics have been identified, highlighting the field's growth.
  • Integrating AI with conventional approaches enhances dementia diagnosis, prediction, classification, and treatment monitoring.