ArticleHealthcare (Basel, Switzerland)2022
The Relationship between Nursing Students' Smart Devices Addiction and Their Perception of Artificial Intelligence.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and sequential explanatory synthesis: Artificial intelligence in healthcare education, a case of nursing.International nursing review · 2025Pooled it
- AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.JMIR nursing · 2026Article
- Awareness, knowledge and attitudes towards artificial intelligence among nursing students: a systematic review protocol.BMJ open · 2026Article
- Untold stories of digital transformation in medical education: AI overdependence and nomophobia among medical students.BMC medical education · 2026Article
- Determinants of smartphone addiction among university students in Jordan.BMC psychology · 2025Article
- Smartphone dependency, digital amnesia, and somatic symptoms among nursing students: the challenge of artificial intelligence.BMC nursing · 2025Article
- Threats of nursing productivity in the digital era: investigating the interplay between smartphones addiction and procrastination behavior among nurses.BMC nursing · 2024Article
- Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review.Health science reports · 2024Article
- Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.BMC medical education · 2024Article
- Article
- Learner-Centered Experience-Based Medical Education in an AI-Driven Society: A Literature Review.Cureus · 2023Review
- Transforming Nursing Education with Artificial Intelligence: A Systematic Review (2010-2025).SAGE open nursingReview
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). 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. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization.
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Registered trials
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