Aims This study aimed to identify latent profiles of artificial intelligence (AI) perceptions and readiness among clinical nurses based on their AI‐related attitudes, literacy, self‐efficacy, and anxiety, and to explore the influencing factors associated with each profile. Materials and Methods Nurses were recruited vi...
Bei Yang, Jia-Chen E. Hu, Qin Zeng· Journal of Nursing Managemen...· 0 citations
AI anxiety among maternal and child health nurses showed a multifaceted network structure in which learning-related stress and fear of anthropomorphic AI were statistically prominent, generating preliminary hypotheses about organizational support but do not identify effective intervention targets.
Cheng-Yu Huang, Qin Zeng, Jun Zhu et al.· Frontiers in Public Health· 0 citations
Higher AI literacy was associated with lower AI anxiety, and this association was partly accounted for by AI attitudes and AI self-efficacy in the proposed serial mediation model, which suggests that more favorable attitudes may be linked to stronger self-efficacy, which may be related to lower anxiety.
Qin Zeng, Shenghua Zhang, Jiachen Hu et al.· Frontiers in Public Health· 0 citations
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