Academic misconduct and artificial intelligence use by medical students, interns and PhD students in Ukraine: a cross-sectional study
These results highlight the widespread adoption of AI among medical students, interns, and PhD candidates for academic purposes, with both notable advantages and significant ethical and practical concerns. Considering the prevalent use of AI for academic work among medical students, interns and PhD students in Ukraine, national rules are needed to define which uses of AI constitute academic dishonesty and academic misconduct.
Authors
- Lesya Lymar (ORCID: https://orcid.org/0000-0002-9407-1066)
- Livia Puljak (ORCID: https://orcid.org/0000-0002-8467-6061)
- Iurii Kuchyn (ORCID: https://orcid.org/0000-0002-9667-1911)
Institutions
- Catholic University of Croatia (HR)
- Bogomolets National Medical University (UA)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1186/s12909-025-08100-y
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96