{"title":"Bibliometric Analysis (2000-2024) of Research on Artificial Intelligence in Nursing.","authors":"Federica Monaco, Vincenzo Andretta, Umberto Bellocchio, Valentina Cerrone, Marco Cascella, Ornella Piazza","doi":"10.1097/ANS.0000000000000542","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50857,"journal":{"name":"Advances in Nursing Science","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Nursing Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/ANS.0000000000000542","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
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.
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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