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Bibliometric Analysis of Artificial Intelligence Revolutions in Health-Related Sustainable Development Goals Publisher



Ramezani M1, 3 ; Takian A1, 2, 3 ; Bakhtiari A3 ; Rabiee HR4 ; Sazgarnejad S2, 5
Authors
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Authors Affiliations
  1. 1. Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
  5. 5. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Health Technology Assessment in Action Published:2023


Abstract

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.
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