ArticleHeliyon2024
Determining medical students' anxiety and readiness levels about artificial intelligence.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Medical undergraduate students' readiness and anxiety toward artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2025Pooled it
- Daily temporal associations among AI replacement anxiety, state anxiety, and academic burnout indicators in medicine and nursing students: a 10-day diary study.BMC nursing · 2026Article
- Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.Behavior research methods · 2026Article
- The readiness-anxiety paradox in artificial intelligence adoption among nursing students: a multidimensional regression analysis.BMC medical education · 2026Article
- Development and validation of the student readiness and anxiety scale for AI-assisted biology teaching (SRAS-AIBT).Scientific reports · 2026Article
- Artificial intelligence related anxiety among dental students: associations with demographics and AI use behaviors.BMC medical education · 2026Article
- Artificial intelligence literacy and readiness in future health care professionals: a cross-sectional study.Croatian medical journal · 2026Article
- Sociodemographic factors, anxiety and attitudes toward generative artificial intelligence among nurses.Frontiers in psychiatry · 2026Article
- What and when: a Delphi study identifying AI competencies and learning objectives for medical students.Frontiers in digital health · 2026Article
- AI literacy and AI anxiety in nursing students: the serial mediating roles of attitudes and self-efficacy.Frontiers in public health · 2026Article
- Mediating effect of technostress on the relationship between artificial intelligence literacy and attitude toward digital technology among health profession students: a structural equation modeling approach.Journal of Yeungnam medical science · 2026Article
- The impact of AI integration in project preparation in education course on pre-service teachers' innovativeness, AI anxiety, attitudes, and acceptance.BMC psychology · 2025Article
- Artificial intelligence in undergraduate medical education: an updated scoping review.BMC medical education · 2025Article
- Refining AI perspectives: assessing the impact of ai curricular on medical students' attitudes towards artificial intelligence.BMC medical education · 2025Article
- Insights Into the Future: Assessing Medical Students' Artificial Intelligence Readiness - A Cross-Sectional Study at Kerman University of Medical Sciences (2022).Health science reports · 2025Article
- What is the influence of psychosocial factors on artificial intelligence appropriation in college students?BMC psychology · 2025Article
- Medical Students' Readiness for Medical Artificial Intelligence (AI).Inquiry : a journal of medical care organization, provision and financingArticle
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to determine the levels of anxiety and readiness among medical students regarding artificial intelligence (AI) and examine the relationship between these factors. The research was conducted on medical students, and the data was collected through face-to-face and online surveys between April and June 2022. The study utilized a socio-demographic information form, an AI anxiety scale, and a medical AI readiness scale. The data collected from a total of 542 students were analyzed using the Statistical Program for Social Sciences (SPSS) version 25. Cronbach's α coefficient was used for reliability analysis. A path diagram was created using AMOS 24, and structural equation modelling (SEM) analysis was applied. The findings of the study indicate that medical students have a moderate level of readiness and a high level of anxiety regarding AI. Furthermore, an inverse relationship was found between AI readiness and AI anxiety. These results highlight the importance of increasing the preparedness of medical students for AI applications and reducing their anxieties. The study suggests the inclusion of AI in the medical curriculum and the development of a standardized curriculum to facilitate its teaching.
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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 OpenQuestion graph.