SynthesisFrontiers in medicine2025
The research hotspots and trends of artificial intelligence technology in nursing management: a bibliometric study.
Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Research hotspots and trends in the application of Chinese herbal medicine for cancer pain management: a bibliometric study.Frontiers in medicine · 2026Pooled it
- From algorithms to clinical execution: A cross-validated knowledge atlas of AI-enabled precision care (2015-2025).Digital healthArticle
- Patient-Engaged AI: The Nursing Path to Health Equity.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI) has emerged as a transformative force in healthcare, with nursing management being a key area of application. As AI technologies such as machine learning and decision support systems are increasingly integrated into clinical workflows, understanding the research landscape of AI in nursing management becomes essential. Methods: A total of 151 English-language publications from the Web of Science Core Collection and Scopus (data from 1990 to August 2025) were analyzed using CiteSpace, VOSviewer, and Bibliometrix. Analyses included co-authorship networks, keyword co-occurrence, citation patterns, and trend visualizations. Results: Since 2017, the number of relevant publications has surged, with China leading in output and the United States leading in collaborative centrality. Key institutions include Columbia University and Capital Medical University. Collaboration among authors remains limited, though several researchers exert significant influence. Five major research clusters have been identified, covering decision support, nursing leadership, informatics, behavioral aspects, and disease-specific applications. Emerging hotspots include "nursing management," "algorithms," and "deep learning." Conclusion: In the field of nursing management, AI is transitioning from conceptual to practical application, demonstrating significant potential for enhancing decision-making and improving patient care. However, the field remains fragmented, with limited collaboration among authors and institutions. This study highlights AI's potential to transform nursing management while emphasizing the need for closer interdisciplinary and international cooperation. Future research should focus on addressing ethical concerns such as data privacy and transparency, and developing AI tools that integrate more effectively into nursing practice. While this study offers valuable insights, there are limitations, including the exclusion of non-English literature and reliance on bibliometric analysis, which may not fully reflect AI's real-world clinical applications. Looking ahead, fostering collaboration, improving ethical governance, and optimizing AI tools will be key to advancing AI in nursing management.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.