ArticleNursing & health sciences2025
Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye.
Article in Nursing & health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Artificial Intelligence Anxiety Levels Among Healthcare Professionals: A Systematic Review and Meta-Analysis.Journal of nursing management · 2026Pooled 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
- Artificial intelligence in nursing: a systematic review of attitudes, literacy, readiness, and adoption intentions among nursing students and practicing nurses.Frontiers in digital health · 2025Pooled it
- Barriers and Facilitators to AI Implementation in Intensive Care Units in China: Qualitative Study Among Nurse Managers.Journal of medical Internet research · 2026Article
- Artificial intelligence literacy and associations with thriving at work among nurses in Anhui Province, China: a latent profile analysis.BMC nursing · 2026Article
- Artificial intelligence literacy and influencing factors among clinical nurses in southeastern China: a latent profile analysis.BMC nursing · 2026Article
- Profiles of artificial intelligence literacy and associations with evidence-based practice competence among nurses: a latent profile analysis.BMC nursing · 2026Article
- Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.Nursing & health sciences · 2026Article
- Characteristics and determinants of artificial intelligence (AI) literacy in Chinese nursing students: A cross-sectional study.International journal of nursing studies advances · 2026Article
- Artificial Intelligence Literacy Levels and Attitudes Toward Artificial Intelligence Technology Among Intensive Care Nurses: A Cross-Sectional Study.Journal of evaluation in clinical practice · 2026Article
- Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review.Nursing & health sciences · 2026Article
- Research on artificial intelligence literacy among nursing professionals: a scoping review.BMC nursing · 2026Article
- Knowledge and attitudes regarding AI-assisted documentation among clinical nurses in China: a cross-sectional study.BMC nursing · 2026Article
- A latent profile analysis of artificial intelligence literacy among undergraduate nursing students: a cross-sectional study.BMC nursing · 2026Article
- Nurses' needs for digital mental health support: an analysis based on the Kano model.Frontiers in public health · 2026Article
- Latent profiles of innovative behavior among hemodialysis nurses and their association with artificial intelligence literacy: a cross-sectional study.Frontiers in medicine · 2026Article
- AI literacy as a potential mediator between attitude and self-efficacy among PICU nurses: a cross-sectional study.Frontiers in public health · 2026Article
- AI and algorithmic literacy among health workers: a scoping review through a digital health literacy lens.Frontiers in public health · 2026Article
- Artificial intelligence literacy, anxiety, and attitudes among registered nurses across different hospital tiers: a multi-center cross-sectional study.Frontiers in public health · 2026Article
- Artificial Intelligence Perceptions and Readiness Among Clinical Nurses: A Latent Profile Analysis With Implications for Nursing Management.Journal of nursing management · 2026Article
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4 authors.
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Abstract
Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for effective healthcare delivery. This study aimed to assess AI literacy levels and associated characteristics among perioperative nurses in Türkiye. This cross-sectional study was conducted between March 15 and April 15, 2024, and included 505 perioperative nurses. Data were collected online using the "Nurse Information Form" and "AI Literacy Scale." Snowball sampling technique was used to enlist individuals. The mean literacy score was 44.35 ± 5.88, which means moderate proficiency. Key elements associated with high literacy levels included being male, familiarity with and use of AI applications, youth, seeing AI as a tool to alleviate workload, and using information technology tools. The results show that although perioperative nurses have a moderate level of AI literacy, their use of AI tools is minimal. The findings underline the need for professional development in AI integration and the inclusion of relevant materials in nursing education programs.
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