Abstract
BACKGROUND: There is a potential shortage of information-based teaching resources in Northeast China, and the artificial intelligence literacy of nursing undergraduates and related factors are not clear. METHODS: This is a cross-sectional survey study conducted in the northeastern region of China. In this study, 546 nursing undergraduates were studied. The data was collected through a mobile app-based survey in October 2024. We assessed demographic factors and artificial intelligence literacy. RESULTS: The total score of artificial intelligence literacy of nursing undergraduates was 134.40 ± 4.38. Regression analysis showed that gender, monthly household income, attitude towards artificial intelligence, and whether or not participating in artificial intelligence-related education/training had a significant negative effect on artificial intelligence literacy (p < .05). CONCLUSIONS: It is recommended to formulate effective measures in combination with relevant factors to improve the artificial intelligence literacy of nursing undergraduates in areas with a potential shortage of information-based teaching resources and promote the digital transformation of nursing undergraduates’ future careers. CLINIC TRIAL NUMBER: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-026-04526-x.