ArticleFrontiers in psychology2026
Personality, usage, and perceptions of AI in medical education: evidence from senior pre-clinical students in China.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As artificial intelligence (AI) tools rapidly permeate medical education, understanding individual differences in their adoption becomes increasingly important. Personality traits, particularly those defined by the Five-Factor Model, may influence how students engage with AI for learning and how they perceive its value. Objective: This study aimed to examine the associations between personality traits and both AI tool use behaviors and attitudes among fourth-year clinical medical students in China. Methods: A cross-sectional survey was conducted among 661 fourth-year clinical students at a medical university in Anhui Province. Personality traits were assessed using the Ten-Item Personality Inventory (TIPI). AI use frequency, specific AI-assisted learning behaviors, and attitudes toward AI in medical education were measured via structured questionnaires. Ordinal and binary logistic regressions were used to analyze behavioral outcomes, while multiple linear regression examined attitudinal associations. Results: Neuroticism was negatively associated with overall AI use frequency (OR = 0.90, 95% CI: 0.83-0.98). Openness was positively linked to using AI for literature translation (OR = 1.14, 95% CI: 1.04-1.245), and conscientiousness predicted use for Auxiliary examination learning (OR = 1.15, 95% CI: 1.045-1.26). Conscientiousness, agreeableness, and openness were significantly associated with more positive attitudes toward AI's educational and clinical utility. Neuroticism was associated with greater concern over data privacy. Conclusions: Personality traits meaningfully shape how students interact with AI tools and perceive their role in medical training. Tailored AI literacy programs and supportive learning environments may improve equitable adoption and optimize educational outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.