Determining medical students' anxiety and readiness levels about artificial intelligence
Open accessAbstract
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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The Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was utilized in a few studies to explore perceptions of AI.
“The Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) [30] was utilized in a few studies to explore perceptions of AI [31–34].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [34]
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- Authors
- Özbek Güven, G., Yilmaz, Ş., & Inceoğlu, F.
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 10
- Issue
- 4
- Pages
- e25894
- ISSN
- 2405-8440 (ISSN-L)
- PMC
- PMC10878911
- OpenAlex
- W4391691299
- Cited by
- 44
- References
- 34
- Citations by year
- 2026: 23 · 2025: 17 · 2024: 4
- FWCI
- 4.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Heliyon (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Malatya Turgut Özal University Institutional Repository (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- artificial intelligence, medical students, AI anxiety, AI readiness, medical education
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