ArticleInternational journal of environmental research and public health2022
Understanding Medical Students' Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 75 citations in OpenAlex.
- Measuring AI literacy in medical students: scale development and validation within a self-determination theory framework.Medical education online · 2026Article
- Predictors of Intentions to Learn and Adopt Medical Artificial Intelligence Among Healthcare Professionals in Ghana: A Descriptive Cross-Sectional Study.Health science reports · 2026Article
- Questionnaires on Perceptions of Artificial Intelligence in Health Care Among Health Care Students: Cross-Cultural Translation Into French and Linguistic Validation.JMIR medical education · 2026Article
- Exploring the role of ChatGPT in artificial intelligence literacy: a study on usage and acceptance among nursing students.BMC medical education · 2026Article
- What makes university students accept generative artificial intelligence? A moderated mediation model.BMC psychology · 2025Article
- Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.BMC health services research · 2025Article
- Exploring the factors influencing the adoption of artificial intelligence technology by university teachers: the mediating role of confidence and AI readiness.BMC psychology · 2025Article
- Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students' Competence.Journal of CME · 2025Article
- Improving pre-service teachers' AI competencies: a quasi experimental study.Frontiers in psychology · 2025Article
- Determinants of Chinese physicians' engagement in narrative medicine: a comprehensive SEM-ANN analysis.Frontiers in medicine · 2025Article
- A Longitudinal Pediatric Residency Climate Justice Curriculum.Journal of graduate medical education · 2024Article
- A systematic review of AI literacy scales.NPJ science of learning · 2024Article
- Mediating effects of artificial intelligence on the relationship between academic engagement and mental health among Chinese college students.Frontiers in psychology · 2024Article
- Psychometric properties of the persian version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS).BMC medical education · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical students learning to use artificial intelligence for medical practices is likely to enhance medical services. However, studies in this area have been lacking. The present study investigated medical students' perceptions of and behavioral intentions toward learning artificial intelligence (AI) in clinical practice based on the theory of planned behavior (TPB). A sum of 274 Year-5 undergraduates and master's and doctoral postgraduates participated in the online survey. Six constructs were measured, including (1) personal relevance (PR) of medical AI, (2) subjective norm (SN) related to learning medical AI, (3) perceived self-efficacy (PSE) of learning medical AI, (4) basic knowledge (BKn) of medical AI, (5) behavioral intention (BI) toward learning medical AI and (6) actual learning (AL) of medical AI. Confirmatory factor analysis and structural equation modelling were employed to analyze the data. The results showed that the proposed model had a good model fit and the theoretical hypotheses in relation to the TPB were mostly confirmed. Specifically, (a) BI had a significantly strong and positive impact on AL; (b) BI was significantly predicted by PR, SN and PSE, whilst BKn did not have a direct effect on BI; (c) PR was significantly and positively predicted by SN and PSE, but BKn failed to predict PR; (d) both SN and BKn had significant and positive impact on PSE, and BKn had a significantly positive effect on SN. Discussion was conducted regarding the proposed model, and new insights were provided for researchers and practitioners in medical education.
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