Bibliometric Analysis (2000-2024) of Research on Artificial Intelligence in Nursing
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.
Authors
- Federica Monaco
- Marco Cascella (ORCID: https://orcid.org/0000-0002-5236-3132)
- Valentina Cerrone (ORCID: https://orcid.org/0009-0006-5657-6959)
- Ornella Piazza (ORCID: https://orcid.org/0000-0002-0316-5930)
- Vincenzo Andretta (ORCID: https://orcid.org/0009-0005-9607-2168)
- Umberto Bellocchio
Institutions
- Ahmadu Bello University (NG)
- International University of Monaco (MC)
- Omron (Japan) (JP)
- Barrett Technology (United States) (US)
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
- Scientific Centre of Monaco (MC)
- Averett University (US)
Publication Details
- Journal
- Advances in Nursing Science
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1097/ans.0000000000000542
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.36