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Untold stories of digital transformation in medical education

AI overdependence and nomophobia among medical students

Bibliographic Data

ID22423959
AuthorsGüneş Korkmaz (0000-0002-9060-5972), Güneş Sima KORKMAZ (Istanbul Medeniyet University), Çetin Toraman (0000-0001-5319-0731, Çanakkale Onsekiz Mart Üniversitesi, corresponding author)
Year2026
Volume26
Issue1
Pages306-306
Publication date2026-01-27
Open AccessYes
TypeARTICLE
VenueBMC Medical Education (JOURNAL)
Journal identifiersISSN: 1472-6920 • E-ISSN: 1472-6920
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s12909-026-08675-0
PMID41588384
OpenAlexW7125708519
LanguageEN
References cited42

BACKGROUND: This study aims to investigate the relationship between AI dependence and nomophobia among medical students based on various demographic characteristics. METHODS: This study adopts a quantitative correlational research design. Dependence on Artificial Intelligence Scale (DAI) and the Nomophobia Questionnaire (NMP-Q) were used to collect data. Data were collected online via Google Forms. Medical students from four public and two private universities in Turkey participated in the study. Data were analyzed using Pearson correlation analysis, Two-Way ANOVA, and Multiple Regression Analysis. RESULTS: The results revealed a significant positive correlation between AI dependence and nomophobia among medical students. Students who reported higher levels of AI dependence were also more likely to exhibit signs of smartphone addiction and internet access dependency. Demographic factors, such as gender, age and year of study, were found to have significant effects on the relationship. CONCLUSIONS: The study highlights a significant relationship between AI dependence and nomophobia among medical students, suggesting that overreliance on AI technologies may contribute to several negative consequences.

Addiction · Computer-assisted web interviewing · Correlation · Pearson product-moment correlation coefficient · Public health · The Internet · AI in Service Interactions · Digital Mental Health Interventions · Impact of Technology on Adolescents

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