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Bibliometric analysis of artificial intelligence revolutions in health-related sustainable development goals

Ramezani, M ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.18502/htaa.v7i4.14654
  3. Publisher: Tehran University of Medical Sciences , 2023
  4. Abstract:
  5. Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve health-related Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG research areas. Objectives: This study aimed to analyze the trends and patterns of AI research in health-related SDGs using bibliometric analysis. Methods: The bibliometric approach facilitated the identification of key terms and countries from previous research. We used VOSviewer to map and analyze data obtained from three databases: Scopus, Web of Science, and PubMed. Results: Our findings illustrated that research on health has been a popular area of study in recent years. In particular, we observed a significant increase in research on AI in health-related SDGs during 2015-2022. Conclusions: This study provides insights into the trends and patterns of AI research in health-related SDGs using bibliometric analysis. The findings can guide future research by identifying key terms that require further investigation. © 2021 Tehran University of Medical Sciences
  6. Keywords:
  7. Artificial Intelligence ; Health ; Revolutions ; Sustainable Development Goals
  8. Source: Health Technology Assessment in Action ; Volume 7, Issue 4 , 2023 ; 26453835 (ISSN)
  9. URL: https://htainaction.tums.ac.ir/index.php/hta/article/view/201