ArticleBMC nursing2025
Nursing students metaphorical perceptions of the concept of "Artificial intelligence" and their views on the future of artificial intelligence.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Role reconstruction among double-qualified nursing educators in the generative AI era: a qualitative study.Frontiers in medicine · 2026Article
- A cross-sectional analysis of AI readiness and attitudes among nurses in resource-limited Chinese county hospitals.Frontiers in digital health · 2026Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundArtificial intelligence (AI) is significantly transforming the nursing profession, supporting decision-making mechanisms, and playing a crucial role in shaping future patient care practices. Understanding nursing students' perspectives on AI applications is vital for the effective integration of artificial intelligence into clinical practice and education. PURPOSE: This qualitative descriptive study explored nursing students' metaphorical perceptions of artificial intelligence and their expectations for its future role in healthcare.
methodsTwenty nursing students from a university in Central Anatolia, Turkey, were purposively sampled using criterion sampling. Data were collected between November and December 2024. The interviews were conducted face-to-face by the researchers. Data were collected via semi-structured interviews and analysed through inductive content analysis with MaXQDA.
resultsThe data were categorized into three main themes and twelve sub-themes: the future of artificial intelligence in healthcare, the contribution of artificial intelligence to public health, and the perceived risks and ethical challenges of artificial intelligence: (1) Future Use of AI in Healthcare, (2) The Contributions of AI to Public Health (3) Negative Reflections of AI in the Field of Health in the Future. Overall, students recognized AI's potential to improve healthcare quality and efficiency but expressed caution regarding its ethical and professional impacts.
conclusionsThe findings emphasize the need to integrate balanced, critical AI content into nursing education to prepare nurses for technology-driven healthcare.
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