ArticleNursing research and practice2025
Assessing Nurses' Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice.
Article in Nursing research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Article
- Artificial intelligence in nursing education: knowledge, perceptions, and associated factors among Egyptian nursing students across universities.BMC nursing · 2026Article
- Knowledge and attitudes regarding AI-assisted documentation among clinical nurses in China: a cross-sectional study.BMC nursing · 2026Article
- Assessing nurses' attitudes toward artificial intelligence in Kazakhstan: psychometric validation of a nine-item scale.Frontiers in digital health · 2026Article
- Postgraduate nursing students' knowledge, attitudes, and practices regarding artificial intelligence: a qualitative study.BMC medical education · 2025Article
- Nurses perceptions and use of artificial intelligence in healthcare.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
aimTo assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
methodsDescriptive cross-sectional research using convenience sampling in January 2023 involving 307 staff nurses, using a single 11-item questionnaire. In addition, 6 closed-ended questions were used to assess the knowledge, possible risks, and advantages of AI.
resultsAll 307 participants completed the survey and used it for data analysis using SPSS V.25. Kruskal-Wallis and Whitney tests and descriptive statistics were used to identify the significant differences among groups. The study results reveal significant differences between age groups and working locations regarding familiarity with AI and future use of AI. In contrast, a considerable difference exists between licensed years groups regarding familiarity with AI. Surprisingly, education level does not affect AI knowledge. Additionally, the future use of AI is significantly affected by the nurse's gender. LIMITATION: Nurses were not included in previous studies on AI, and most nursing participants need more interest in AI.
conclusionThe study's results showed that nurses have positive opinions of AI in the healthcare industry, which will help them speed up procedures and reduce medical errors. AI applications can expand in healthcare by increasing the use of AI in the healthcare industry to improve care quality and encourage academic institutions to develop best practices for deploying AI applications in the healthcare industry.
Identifiers
What OpenQuestion 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 OpenQuestion graph.