Attitudes Toward Artificial Intelligence: Their Association with Creative Self- Efficacy and Problem-Solving Ability in Nursing Interns

Aim To determine the levels of attitudes toward artificial intelligence（AI）, creative self-efficacy, and problem-solving ability among nursing interns in Guangxi, China, and to explore the relationships among these variables as well as the key factors influencing attitudes toward artificial intelligence. Design A cross-sectional survey design was conducted. Methods Data were collected from 259 nursing interns from seven hospitals using an online questionnaire assessing sociodemographic characteristics, AI attitudes, creative self-efficacy, and problem-solving ability. Correlation and multiple linear regression analyses were performed. The study followed ethical principles and STROBE reporting guidelines. Data Sources Survey data were collected between July and August 2025. Results The mean score for nursing interns’ attitudes toward artificial intelligence (AIA) was 47.70 ± 8.75, the mean score for creative self-efficacy (CSE) was 28.56 ± 6.20, and the mean score for problem-solving ability (PSA) was 79.83 ± 17.53.Spearman correlation analysis showed that AIA was positively correlated with PSA ( p < 0.05) and CSE ( p < 0.05), and that CSE was positively correlated with PSA ( p < 0.05).Multiple linear regression analysis further indicated that educational program, CSE, and PSA were significant factors influencing AIA. Conclusion Positive attitudes toward artificial intelligence were associated with higher creative self-efficacy and problem-solving ability. Integrating AI-related training into nursing education may support the development of professional competencies in nursing students.