Title of article
Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related Sustainable Development Goals
Author/Authors
Ramezani ، Maryam Department of Health Management - School of Public Health, Health Equity Research Centre (HERC) - Tehran University of Medical Sciences , Takian ، Amirhossein Department of Global Health and Public Policy, Department of Global Health and Public Policy - School of Public Health, Health Equity Research Centre (HERC) - Tehran University of Medical Sciences , Bakhtiari ، Ahad Health Equity Research Centre (HERC) - Tehran University of Medical Sciences , R. Rabiee ، Hamid Department of Computer Engineering - Sharif University of Technology , Sazgarnejad ، Saharnaz Department of Global Health and Public Policy - School of Medicine, School of Public Health - Tehran University of Medical Sciences
From page
1
To page
15
Abstract
Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated 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.
Keywords
Artificial Intelligence , Revolutions , Health , Sustainable Development Goals
Journal title
Health Technology Assessment in Action
Journal title
Health Technology Assessment in Action
Record number
2757215
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