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.
Authors
- Şerife Karagözoğlu (ORCID: https://orcid.org/0000-0002-9558-0786)
- Hülya KOÇYİĞİT (ORCID: https://orcid.org/0000-0002-0540-2944)
- Şeyda Kazanç
Institutions
- Sivas Cumhuriyet Üniversitesi (TR)
- Tokat Gaziosmanpaşa Üniversitesi (TR)
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