Determining the Artificial Intelligence Literacy and Attitudes toward Artificial Intelligence of Oncology Nurses: A Descriptive-correlational Study

Introduction: Artificial intelligence (AI) is increasingly shaping oncology nursing practice. This study examined the relationship between AI literacy and attitudes toward AI among oncology nurses in Türkiye and evaluated AI literacy’s predictive role for these attitudes.
Methods: This descriptive-correlational study was conducted among oncology nurses between August and December 2025. Data were collected using the personal information form, the Artificial Intelligence Literacy Scale (AILS), and the General Attitudes toward Artificial Intelligence Scale (GAAIS) through Google Forms. Data analysis performed using IBM SPSS Statistics (version 28.0).
Results: The study included 102 oncology nurses across Türkiye. Significant positive correlations were found between the total AILS score and all subscales. A strong correlation was observed between usage and ethics, while evaluation showed moderate correlations with the other subscales. In regression analysis, the model predicting negative attitudes was not statistically significant (F=0.936, p=0.483), explaining 6.5% of the variance (R2=0.065); only Ethics showed a significant negative association. The model predicting positive attitudes was statistically significant (F=3.425, p=0.003), explaining 20% of the variance (R2=0.20); however, none of the AI literacy subscales were significant predictors, and age showed significant negative association.
Discussion and Conclusion: It is recommended that nurses should be supported with in-service training to enhance their AI literacy and foster more positive attitudes toward AI and that relevant regulatory frameworks should be strengthened.

Keywords: Artificial Intelligence attitudes; Artificial intelligence literacy; Descriptive study; Nursing; Oncology