Knowledge, attitudes, practices, and barriers of artificial intelligence as predictors of intent to stay among nurses: A cross-sectional study.

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Title: Knowledge, attitudes, practices, and barriers of artificial intelligence as predictors of intent to stay among nurses: A cross-sectional study.
Authors: Oweidat IA; Community and Mental Health Nursing Department, Faculty of Nursing, Zarqa University, Zarqa, Jordan., Alkhatib M; Community and Mental Health Nursing Department, Faculty of Nursing, Zarqa University, Zarqa, Jordan., ALBashtawy M; Princess Salma Faculty of Nursing, Al al-Bayt University, Mafraq, Jordan., Al Omar S; Faculty of Nursing, Al-Balqa Applied University, Salt, Jordan., Al-Rjoub S; Department of Community and Mental Health-Faculty of Nursing, The Hashemite University, Zarqa, Jordan., Alsaqer K; Community and Mental Health Nursing Department, Faculty of Nursing, Zarqa University, Zarqa, Jordan., Al-Mugheed K; College of Nursing, Riyadh Elm University, Riyadh, Saudi Arabia., Abdelaliem SMF; Department of Nursing Management and Education, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Source: Digital health [Digit Health] 2025 Apr 22; Vol. 11, pp. 20552076251336106. Date of Electronic Publication: 2025 Apr 22 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076251336106