The integration of artificial intelligence (AI) into nursing practice is advancing, with nurses’ attitudes as a potential critical factor for its successful adoption. A comprehensive understanding of these attitudes is therefore needed. This review aims to systematically map and synthesize the factors associated with nurses’ attitudes toward AI. This scoping review was conducted in accordance with the Joanna Briggs Institute (JBI) framework for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). The research question was developed based on the Participants, Concept, and Context (PCC) framework, focusing on factors associated with clinical registered nurses’ attitudes toward AI. Inclusion criteria comprised original studies published in English or Chinese that involved nurses as participants and reported factors related to AI attitudes. The search strategy integrated subject headings and free-text terms and was applied across nine databases, such as PubMed, covering literature up to September 29, 2025. Two researchers independently screened the literature and extracted data using a predefined form, which included items such as author, year, country, study design, sample, measurement tools, attitude outcomes, and reported factors. Disagreements were resolved through team discussion or consultation with a senior researcher. The extracted factors were categorized and synthesized following the tripartite model of attitudes. A total of 18 studies were included in this review. The included studies were primarily cross-sectional, focused on measuring nurses’ AI attitudes and exploring correlates. These factors were synthesized into five dimensions: demographic, cognitive, affective, conative, and external. Evidence on demographic factors was heterogeneous, while findings in other dimensions showed greater consistency. Future research should prioritize investigating the theoretical mechanisms and clinical translation pathways underlying these attitudes. This scoping review maps factors associated with nurses’ AI attitudes across individual, organizational, and systemic levels. Current evidence, primarily cross-sectional, suggests associations but not causation. Future research should examine multi-level interactions through longitudinal and qualitative designs to build integrated theoretical models. Beyond observation, nursing must transition to active co-creation in the AI ecosystem, ensuring integration is theoretically informed and aligned with professional values. Not applicable.
Jin et al. (Tue,) studied this question.