Izvorni znanstveni članak
https://doi.org/10.3325/cmj.2026.67.4
Artificial intelligence literacy and readiness in future health care professionals: a cross sectional study
Funda Catan-Inan
; Department of Medicine Biostatistics, Bilecik Seyh Edebali University, Bilecik, Turkey
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* Dopisni autor.
Sažetak
Aim To examine the relationship between artificial intel
ligence (AI) literacy and readiness for medical AI among
medical and nursing students, and to explore demograph
ic and educational factors affecting AI literacy and readi
ness for AI.
Methods This cross-sectional study enrolled 443 students
attending the Faculty of Medicine and the Department of
Nursing at Bilecik Seyh Edebali University between May
and June 2025. Data were collected using a general demo
graphic questionnaire, Medical Artificial Intelligence Readi
ness Scale (MAIRS), and Artificial Intelligence Literacy Scale
(AILS).
Results Medical students showed higher AI readiness
(P < 0.001) and literacy (P = 0.032) scores than nursing stu
dents. AI literacy was moderately and positively correlated
with readiness for medical AI (r = 0.338, P < 0.001), and the
associations were strongest on the Awareness and Usage
dimensions. In multivariable models, MAIRS scores were in
dependently associated with the study year, department,
and single-item readiness to use AI, while AILS scores were
independently associated with the readiness to use AI and
the belief that AI could partially replace health care work
ers. Internal consistency of the questionnaires was high
(MAIRS α = 0.972; AILS α = 0.878).
Conclusion The findings support the integration of struc
tured, practical, and ethically informed AI education into
health science curricula, as this may be associated with
greater student readiness for future AI-supported health
care environments.
Ključne riječi
Hrčak ID:
352576
URI
Datum izdavanja:
25.2.2026.
Posjeta: 0 *