Factors affecting medical artificial intelligence (AI) readiness among medical students: taking stock and looking forward
Our findings underscore the need to prepare students to work with AI technologies and to provide them with the essential knowledge and skills across different areas of AI. Accordingly, the Kermanshah University of Medical Sciences student's education unit should set up more AI training centers to provide and introduce basic artificial intelligence courses. Moreover, universities should identify the needs of students based on scientific evidence, and the medical education system should design AI training programs in its educational framework in the same direction.
Authors
- Arash Ziapour (ORCID: https://orcid.org/0000-0001-8687-7484)
- Murat Yıldırım (ORCID: https://orcid.org/0000-0003-1089-1380)
- Parisa Janjani (ORCID: https://orcid.org/0000-0002-7394-8447)
- Malahat Amani (ORCID: https://orcid.org/0000-0002-0874-8369)
- Fatemeh Darabı (ORCID: https://orcid.org/0000-0002-4399-1460)
- Sayeh Motevaseli (ORCID: https://orcid.org/0000-0001-9459-9840)
Institutions
- Khazar University (AZ)
- Ağrı İbrahim Çeçen University (TR)
- Kermanshah University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1186/s12909-025-06852-1
- Citations
- 13
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 8.51
Funders
- Kermanshah University of Medical Sciences
- Student Research Committee, Tabriz University of Medical Sciences