ArticleBMC medical education2024
Medical students' AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.
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The trial behind it
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Who cites it
60 citing papers in PubMed, 2 syntheses or guidelines 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
- Content and structural needs assessment for an artificial intelligence education mobile app in healthcare: a mixed methods study.BMC medical education · 2025Pooled it
- The effect of artificial intelligence-based scenarios on the clinical education of rehabilitation students: an anatomy-based randomized controlled study.BMC medical education · 2026Trial
- Measuring AI literacy in medical students: scale development and validation within a self-determination theory framework.Medical education online · 2026Article
- DEGRO consensus framework for undergraduate radiation therapy teaching in Germany: a white paper with integrated guidance on artificial intelligence in medical education.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Medical AI Use Intention Among Medical Students and Faculty and Its Associations With AI Literacy, Perceived Benefits, and Risks: Cross-Sectional Survey Study.JMIR medical education · 2026Article
- Value Configurations Associated with Artificial Intelligence Literacy Among Medical Students: Findings from NCA and fsQCA.Behavioral sciences (Basel, Switzerland) · 2026Article
- AI literacy and ethical attitudes toward AI in medical students: evidence from a structural model.BMC medical education · 2026Article
- Use, Concerns, and Perspectives on AI in Health Care Among French Health Professionals and Students: Web-Based Cross-Sectional Survey.JMIR medical education · 2026Article
- Saudi Medical Students' Perceptions and Attitudes of Integrating Generative Artificial Intelligence Integration in Medical Education: A Cross-Sectional Study.Health science reports · 2026Article
- Generative Artificial Intelligence Literacy Scale for Nurses: Development and Psychometric Evaluation.Journal of medical Internet research · 2026Article
- Personality traits, technology affinity, and artificial intelligence readiness in medical students: a multinational cross-sectional study.BMC medical education · 2026Article
- Awareness, Educational Needs, and Curriculum Preferences Regarding AI and Medical Big Data Education Among Clinical Medicine Undergraduates: Cross-Sectional Survey Study.JMIR formative research · 2026Article
- AI in UK Medical Education: A Framework for Curriculum Reform.JMIR medical education · 2026Article
- Exploring factors associated with nursing students' artificial intelligence literacy: insights from a national mixed methods study.BMC nursing · 2026Article
- Characteristics and determinants of artificial intelligence (AI) literacy in Chinese nursing students: A cross-sectional study.International journal of nursing studies advances · 2026Article
- Development and validation of the Oxford Attitudes to Artificial Intelligence in Medicine Scale.JAAD international · 2026Article
- The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.BMC medical education · 2026Article
- The Influencing Factors of Medical Postgraduates' Usage Intention Toward Artificial Intelligence-Generated Content Tools in Academic Research: Qualitative Analysis.Journal of medical Internet research · 2026Article
- Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is becoming increasingly important in healthcare. It is therefore crucial that today's medical students have certain basic AI skills that enable them to use AI applications successfully. These basic skills are often referred to as "AI literacy". Previous research projects that aimed to investigate medical students' AI literacy and attitudes towards AI have not used reliable and validated assessment instruments.
methodsWe used two validated self-assessment scales to measure AI literacy (31 Likert-type items) and attitudes towards AI (5 Likert-type items) at two German medical schools. The scales were distributed to the medical students through an online questionnaire. The final sample consisted of a total of 377 medical students. We conducted a confirmatory factor analysis and calculated the internal consistency of the scales to check whether the scales were sufficiently reliable to be used in our sample. In addition, we calculated t-tests to determine group differences and Pearson's and Kendall's correlation coefficients to examine associations between individual variables.
resultsThe model fit and internal consistency of the scales were satisfactory. Within the concept of AI literacy, we found that medical students at both medical schools rated their technical understanding of AI significantly lower (M
conclusionsCourses to increase the AI literacy of medical students should focus more on technical aspects. There also appears to be a correlation between AI literacy and attitudes towards AI, which should be considered when planning AI courses.
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