Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study

Understanding nursing students' attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. This study aimed to determine nursing students' attitudes towards and readiness for AI. This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 ± 0.62, 3.23 ± 0.82, and 76.93 ± 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p < 0.01). The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum.