Artificial Intelligence Readiness Status of Medical Faculty Students
Open accessAbstract
Objective: This research aims to examine the knowledge level and awareness of Faculty of Medicine students about medical artificial intelligence technologies. Methods: In this study involving students studying at Medical Faculties in Turkey, descriptive questionnaire, and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) were used. The suitability of continuous variables for normal distribution was tested with the Shapiro-Wilk test. Descriptive statistics for continuous variables are presented as mean and standard deviation or median (Q1-Q3). Descriptive statistics for categorical variables are reported as frequencies and percentages. Homogeneity of variances was evaluated with the Levene test. Mann Whitney U test was used to compare the scale subdimension and total scores according to two independent groups; One-way Analysis of Variance or Kruskal Wallis test was used to compare the scale subdimensions and total scores according to more than two independent groups. Dunn-Bonferroni test was used for multiple comparisons if there was a significant difference between the groups. The relationship between MAIRS-MS subdimensions and MAIRS-MS score was evaluated with the Spearman correlation coefficient. MAIRS-MS reliability was determined by Cronbach alpha value. The value of p
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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 [31]
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- Authors
- EMİR, B., YURDEM, T., OZEL, T., SAYAR, T., UZUN, T. A., AKAR, U., & COLAK, U. A.
- Affiliations
- İZMİR KATİP ÇELEBİ ÜNİVERSİTESİ, TIP FAKÜLTESİ
- Izmir Kâtip Çelebi University (TR)
- Venue
- Konuralp Tıp Dergisi
- Publisher
- Konuralp Medical Journal
- Published
- 2024-03-14
- Volume
- 16
- Issue
- 1
- Pages
- 88-95
- ISSN
- 1309-3878 (ISSN-L)
- OpenAlex
- W4392452028
- Cited by
- 13
- References
- 21
- Citations by year
- 2026: 6 · 2025: 7
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Konuralp Tıp Dergisi (publishedVersion)
- DergiPark (Istanbul University) (submittedVersion)
- Funders
- None
- 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
- AI readiness, medical students, artificial intelligence in healthcare, scale development, medical education
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