Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Methods: A cross-sectional design was applied. smart devices and their perceptions of artificial intelligence. Data Science is a combination of multiple disciplines that uses statistics, data analysis, and machine learning to analyze data and to extract knowledge and insights from it. Aim: To investigate the relationship between nursing students’ addiction to. It has a very positive impact on our day-to-day life. Artificial intelligence has become important in the rapid development of the technology field in recent years. Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon.
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