ArticleNursing & health sciences2026
Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.
Article in Nursing & health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Shadow Artificial Intelligence in Intensive Care Nursing: Why Informal Use Requires Governance.Nursing & health sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective integration strategies. A qualitative descriptive design with interpretive elements was conducted between September and December 2025 in multiple hospitals in Istanbul, Turkey. Using purposive snowball sampling, 22 ICU nurses participated in semi-structured, face-to-face interviews. Data were analyzed inductively using interpretive description. Six themes were identified: knowledge and awareness of AI, experiences with AI, impact on nursing care, role in clinical decision-making, ethical and safety risks, and educational needs and future expectations. Findings revealed that nurses had limited and fragmented knowledge of AI, with mostly indirect exposure. While AI was perceived as having the potential to improve care quality and support clinical decisions, concerns were raised regarding loss of autonomy, data security, device errors, and accountability. Participants also emphasized the irreplaceable role of human presence in care and highlighted a clear need for structured education and institutional support.
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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 OpenQuestion graph.