Bibliometric Analysis of Artificial Intelligence Revolutions in Healthrelated Sustainable Development Goals

Health Technology Assessment in Action Pub Date : 2024-01-07 DOI:10.18502/htaa.v7i4.14654

Maryam Ramezani, Amirhossein Takian, A. Bakhtiari, Hamid R. Rabiee, S. Sazgarnejad

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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.

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与健康相关的可持续发展目标中人工智能革命的文献计量分析

背景：随着人工智能（AI）的发展，人们设计了创新解决方案来改善与健康相关的可持续发展目标（SDGs）。因此，人工智能和可持续发展目标研究领域的趋势日益明显。目标：本研究旨在利用文献计量分析法分析与健康相关的可持续发展目标中的人工智能研究趋势和模式。方法：文献计量学方法有助于从以往的研究中识别关键术语和国家。我们使用 VOSviewer 对从三个数据库中获得的数据进行映射和分析：Scopus、Web of Science 和 PubMed。结果我们的研究结果表明，健康研究是近年来的热门研究领域。特别是，我们观察到，在 2015 - 2022 年期间，与健康相关的可持续发展目标中有关人工智能的研究大幅增加。结论：本研究通过文献计量分析，深入探讨了与健康相关的可持续发展目标中的人工智能研究趋势和模式。研究结果可以通过确定需要进一步调查的关键术语来指导未来的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Technology Assessment in Action

CiteScore

0.30

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0.00%

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