Bibliometric Analysis (2000-2024) of Research on Artificial Intelligence in Nursing.

IF 1.6 4区 医学 Q2 NURSING
Federica Monaco, Vincenzo Andretta, Umberto Bellocchio, Valentina Cerrone, Marco Cascella, Ornella Piazza
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引用次数: 0

Abstract

We conducted a bibliometrics analysis utilizing the Web of Science database, selecting 1925 articles concerning artificial intelligence (AI) in nursing. The analysis utilized the network visualization tool VOSviewer to explore global collaborations, highlighting prominent roles played by the United States, China, and Japan, as well as institutional partnerships involving Columbia University and Harvard Medical School. Keyword analysis identified prevalent themes and co-citation analysis highlighted influential journals. A notable increase in AI-related publications in nursing was observed over time, reflecting the growing interest in AI in nursing. However, high-quality clinical research and increased scientific collaboration are needed.

护理领域人工智能研究的文献计量分析(2000-2024 年)。
我们利用 "科学网 "数据库进行了文献计量学分析,选取了 1925 篇有关护理领域人工智能(AI)的文章。该分析利用网络可视化工具 VOSviewer 探索了全球合作,突出了美国、中国和日本发挥的重要作用,以及哥伦比亚大学和哈佛医学院参与的机构合作。关键词分析确定了普遍的主题,共同引用分析突出了有影响力的期刊。随着时间的推移,护理领域与人工智能相关的论文明显增加,这反映出护理领域对人工智能的兴趣与日俱增。不过,还需要开展高质量的临床研究并加强科学合作。
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
CiteScore
2.80
自引率
6.20%
发文量
93
审稿时长
>12 weeks
期刊介绍: Consistently ranked as one of the most-read and most assigned journals by faculties of graduate programs in nursing, Advances in Nursing Science (ANS) is intellectually challenging, innovative and progressive, and features articles from a wide range of scholarly traditions. The journal particularly encourages works that speak to the need for global sustainability and that take an intersectional approach, recognizing class, color, sexual and gender identity, and other dimensions of human experience related to health. Articles in ANS are peer-reviewed and chosen for their pioneering perspectives and for their significance in contributing the evolution of the discipline of nursing.
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