Artificial intelligence readiness among healthcare students in Nigeria: A cross-sectional study assessing knowledge gaps, exposure, and adoption willingness
Nigerian healthcare students show strong enthusiasm for AI adoption but have significant knowledge gaps and limited practical exposure. However, substantial concerns exist regarding the translation of expressed willingness into actual practice, particularly among early-year students who lack clinical exposure to understand AI limitations, bias, and real-world implementation challenges. These findings highlight an urgent need for AI curriculum integration and infrastructure development to prepare future healthcare professionals for an increasingly AI-driven healthcare landscape.
Authors
- Ojima Zechariah Wada (ORCID: https://orcid.org/0000-0002-8328-3557)
- Aanuoluwapo Clement David-Olawade (ORCID: https://orcid.org/0000-0002-7052-6425)
- David B. Olawade (ORCID: https://orcid.org/0000-0003-0188-9836)
- Yinka Julianah Adeniji (ORCID: https://orcid.org/0000-0001-5809-4888)
- Ibukunoluwa Victoria Aderupoko
Institutions
- Dorset HealthCare University NHS Foundation Trust (GB)
- Federal University of Technology (NG)
- Glenfield Hospital (GB)
- University Hospitals of Leicester NHS Trust (GB)
- Arden University (GB)
- Hamad bin Khalifa University (QA)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106085
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31