ArticleDigital health
The association of artificial intelligence ethical awareness, attitudes, anxiety, and intention-to-use artificial intelligence technology among nursing students.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 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
- The role of digital literacy and ethical awareness in nurses' acceptance of Artificial Intelligence: a cross-sectional questionnaire survey.International journal of nursing studies advances · 2026Article
- The mediating role of AI anxiety between AI literacy and attitudes towards AI in nursing students: a cross-sectional study.BMC medical education · 2026Article
- Compassion and Self-Compassion in Relation to Nursing Students' Attitudes Toward Artificial Intelligence.Nursing open · 2026Article
- A concept analysis of artificial intelligence anxiety among nurses based on Walker and Avant's method.BMC nursing · 2026Article
- Investigating the relationship between attitudes toward artificial intelligence and moral sensitivity among nursing students.BMC nursing · 2026Article
- Technology anxiety and artificial intelligence readiness in nursing students: a cross-sectional study.BMC nursing · 2026Article
- Awareness, knowledge and attitudes towards artificial intelligence among nursing students: a systematic review protocol.BMJ open · 2026Article
- Medical students' attitudes, usage patterns, and associated factors with DeepSeek adoption in education: a cross-sectional study in China.BMC medical education · 2026Article
- Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study.JMIR formative research · 2026Article
- Research on artificial intelligence literacy among nursing professionals: a scoping review.BMC nursing · 2026Article
- Public perceptions of AI-assisted cancer care in Abu Dhabi, UAE: A cross-sectional survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Health sciences students' attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study.BMC medical education · 2026Article
- Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.BMC nursing · 2026Article
- Impact of Hospital Hierarchy on Nurses' Attitudes Toward Artificial Intelligence: Mediating Roles of Artificial Intelligence Literacy and Anxiety.Journal of nursing management · 2026Article
- The Mediating Role of AI Ethics Awareness Between AI Attitudes and AI Utilization: A Multisite Cross-Sectional Study of Saudi Nursing Students.Journal of nursing management · 2026Article
- Illusory competence vs. real needs a cross-sectional study on the mismatch in Smart Senior Care (SSC) perceptions between nursing students and older adults.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 Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Impact of AI Literacy on Well-Being Among Nursing Students-Mediating Roles of Empowerment and Anxiety: Cross-Sectional Study.JMIR nursing · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: As artificial intelligence (AI) continues to permeate various sectors including healthcare, understanding its impact on nursing students' attitudes and intentions to use is crucial. To examine the association of AI ethical awareness, attitudes, anxiety, and intention-to-use AI technology among Jordanian nursing students. Method: A descriptive, cross-sectional design was used. The study was conducted in three private universities in Jordan, utilizing a convenience sampling technique; data were collected from a sample of 140 nursing students between January and March 2024. Results: Results showed moderate levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI technology among Jordanian nursing students. There are no significant differences found in the levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI based on gender and study year ( Conclusion: The need to keep pace with technological developments is urgent and crucial, especially in nursing educational institutions. The findings shed important light on the levels of behavioral intention toward AI, as well as on variables such as ethical awareness, attitudes, and anxiety about AI, and the effect of demographics on participants' attitudes, anxiety, and intentions to use AI technology.
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