Dental Nurses' Views On Ai Applications: A Cross-Sectional Study

Abstract

This study aimed to explore the correlation between artificial intelligence (AI) literacy, AI anxiety and AI attitudes among dental nurses, as well as analyze the influencing factors on dental nurses' AI attitudes.The findings will provide targeted recommendations to facilitate the effective integration of artificial intelligence into dental nursing practice. This study use a convenient sampling method, dental nurses from stomatology hospital and stomatology clinics in South China were selected as study participants. The data collection tools included the Nurse Information Form, the General Attitudes Towards Artificial Intelligence Scale (GAAIS), the Artificial Intelligence Literacy Scale (AILS) and the Artificial Intelligence Anxiety Scale (AIAS). Influencing factors were analyzed using IBM SPSS 28, which included linear regression and Pearson correlation analysis. This study indicated dental nurses’age, educational level, prior AI training, AI literacy, and AI anxiety significantly influenced dental nurses' attitudes toward AI (P<0.05). Correlation analysis demonstrated a significant positive correlation between AI literacy, AI anxiety, and a positive attitude toward AI (P<0.01), while AI literacy and AI anxiety were significantly negatively correlated with a negative attitude toward AI (P < 0.01). Older dental nurses, those with lower education levels, lower AI literacy, and higher AI anxiety tend to exhibit more negative attitudes toward AI applications. To enhance the integration of AI in dental nursing, dental healthcare institutions should develop targeted training programs for older and less-educated dental nurses, improve their AI literacy, foster more positive attitudes toward AI applications, and mitigate AI-related anxiety.

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