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March 16, 2026npj Digital Medicine4 citationsOpen Access

AI literacy mediates AI assisted diagnosis participation and critical thinking among medical students under supervision

YXYang XinDYDuo YanLSLuo Shuren

Key Points

  • The study aims to explore how AI literacy affects critical thinking and engagement with AI-assisted diagnosis in medical students during clinical rotations.
  • Longitudinal study design following 372 medical students over 12 months
  • Assessment of AI-assisted diagnosis participation, AI literacy, and critical thinking at multiple time points
  • Cross-lagged panel models analyzed associations and mediation effects
  • Higher participation in AI-assisted diagnosis correlated with improved AI literacy and critical thinking skills
  • AI literacy mediated the relationship between participation and critical thinking
  • Effects were stronger in students with prior technological experience and mastery-oriented goals

Abstract

Abstract Concerns that AI tools may erode diagnostic reasoning contrast with claims that AI can foster higher-order thinking. This longitudinal study followed 372 medical students across 12 months of supervised rotations using an AI-assisted diagnosis system. AI-assisted diagnosis participation, AI literacy and medical critical thinking were assessed at baseline, 6 months and 12 months. Cross-lagged panel models examined prospective associations, statistical mediation by AI literacy and moderation by prior technological experience and learning goal orientation. Higher participation was associated with increases in AI literacy and critical thinking, and AI literacy statistically mediated the participation-to-critical thinking association. Indirect effects were stronger among students with greater technological experience and mastery-oriented goals and weaker among performance-oriented peers. Findings indicate that, within supervised clinical training, engagement with AI systems is associated with critical thinking development partly through enhanced AI literacy, supporting AI tools as educational resources under faculty guidance.

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Cite This Study

Xin et al. (2026) studied this question.

synapsesocial.com/papers/69b79e398166e15b153ab3e4https://doi.org/10.1038/s41746-026-02521-9
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