Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study

In our study, it was determined that nursing students' individual innovativeness levels positively affected their readiness for medical artificial intelligence. It was concluded in this study that the individual innovativeness level of the nursing students was low; in other words, they adopted a traditionalist attitude and approached artificial intelligence cautiously. It is recommended that the existing curricula be restructured to strengthen the innovative perspective of nursing students and to understand, use, and develop artificial intelligence technologies in nursing, and nursing educators should upskill themselves in this field.

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Publication Details

Journal
BMC Medical Education
Published
2025-10-29
DOI
https://doi.org/10.1186/s12909-025-07774-8
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study

Şerife Karagözoğlu, Hülya KOÇYİĞİT, Şeyda Kazanç
BMC Medical Education
Artificial Intelligence in Healthcare and Education
article

Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study

Şerife Karagözoğlu, Hülya KOÇYİĞİT, Şeyda Kazanç
article en

Abstract

In our study, it was determined that nursing students' individual innovativeness levels positively affected their readiness for medical artificial intelligence. It was concluded in this study that the individual innovativeness level of the nursing students was low; in other words, they adopted a traditionalist attitude and approached artificial intelligence cautiously. It is recommended that the existing curricula be restructured to strengthen the innovative perspective of nursing students and to understand, use, and develop artificial intelligence technologies in nursing, and nursing educators should upskill themselves in this field.

BMC Medical EducationVol. 25(1)
Sivas Cumhuriyet Üniversitesi (TR), Tokat Gaziosmanpaşa Üniversitesi (TR)
Openalex Percentile: Top 77%
Artificial Intelligence in Healthcare and Education
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