Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector

Abdul Khalique Shaikh, Saadat M. Alhashmi*, Nadia Khalique, Ahmed M. Khedr, Kaamran Raahemifar, Sadaf Bukhari

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)


Artificial Intelligent (AI) applications in e-health have evolved considerably in the last 25 years. To track the current research progress in this field, there is a need to analyze the most recent trend of adopting AI applications in e-health. This bibliometric analysis study covers AI applications in e-health. It differs from the existing literature review as the journal articles are obtained from the Scopus database from its beginning to late 2021 (25 years), which depicts the most recent trend of AI in e-health. The bibliometric analysis is employed to find the statistical and quantitative analysis of available literature of a specific field of study for a particular period. An extensive global literature review is performed to identify the significant research area, authors, or their relationship through published articles. It also provides the researchers with an overview of the work evolution of specific research fields. The study's main contribution highlights the essential authors, journals, institutes, keywords, and states in developing the AI field in e-health.

Original languageEnglish
JournalDigital Health
Publication statusPublished - Jan 1 2023


  • artificial intelligence
  • bibliometric analysis
  • e-health
  • health care
  • machine learning
  • smart health- care
  • telehealth

ASJC Scopus subject areas

  • Health Policy
  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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