@article{article_1274522, title={Artificial Intelligence Anxiety of Nurses and Related Factors}, journal={Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi}, volume={12}, pages={1846–1854}, year={2023}, DOI={10.37989/gumussagbil.1274522}, author={Çobanoğlu, Asuman and Oğuzhan, Hatice}, keywords={Hemşire, Yapay zeka, Yapay zeka kaygısı}, abstract={The research was carried out to examine the artificial intelligence anxiety levels of nurses and their affecting factors. In this study, a descriptive and cross-sectional design was used. The sample of the study consisted of 120 nurses (n=120). The research data were collected between 10 July and 10 October 2021. Data were collected using a Nurse Information From (NIF) and Artificial Intelligence Anxiety Scale (AIAS). Mann- Whitney U and Kruskal-Wallis test were used in the analysis of research data. The average age of nursing was 31.05±7.40 and 82.2% were females. The AI levels of the nurses were found to be 43.36±11.13. It was determined that there was a difference between the educational status of the nurses, their knowledge of AI technologies, the effect of AI technologies in patient care and their AI anxiety levels (p <0.05). This study determined that AI anxiety was higher in nurses who had a lower education level, did not have knowledge about AI technologies, and thought that AI technologies would not have a positive effect on patient care.}, number={4}, publisher={Gümüşhane Üniversitesi}