Dependence on Generative Artificial Intelligence Among Medical Students and Its Association With Critical Thinking: A Cross-Sectional Study

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Authors: Siva P M, David Sam Selva Jeyam P, Hiranmahi Gandhi K
Cited by: 1
References: 14

Abstract

INTRODUCTION: Generative artificial intelligence (AI) (e.g., ChatGPT and Google Gemini) is exceptionally useful in the educational field for learning new concepts. However, besides its benefits, it also introduces the risk of pathological dependence on AI. Hence, this study aims to evaluate the prevalence of AI dependency and its association with critical thinking. METHODS: A cross-sectional study was conducted at a government medical college in Tamil Nadu. The study population comprised undergraduate medical students. Data were collected using a structured digital questionnaire that consisted of validated Generative AI Dependency and Critical Thinking Disposition Assessment Questionnaire (CTDAQ-20) scales. Statistical analysis included non-parametric group comparisons, Spearman's rank correlation, and multiple linear regression. RESULTS: Among the 722 participants, the prevalence of Generative AI usage was 695 (96.3%). Among users (n=695), the median AI dependence score was 2.1 (IQR: 1.6-2.7), with males having higher dependence than females (p=0.019) and final-year students reporting higher dependence than students in other years (p

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Clinical Reasoning and Diagnostic Skills E-Learning and COVID-19

Publication details

Journal / source
Cureus
Publisher
Springer Science and Business Media LLC
Volume
18
Issue
7
Pages
e112457–e112457
Publication date
11 July 2026
Language
EN