Assessing medical students’ readiness for artificial intelligence after pre-clinical training
This study's findings suggest while medical students demonstrate a moderate level of AI-readiness as they enter their clinical years, significant gaps remain, particularly in cognitive areas such as understanding AI terminology, logic, and data science. The majority of students use ChatGPT as their AI tool, with a notable difference in attitudes between tech-savvy and non-tech-savvy individuals. Further efforts are needed to improve students' competency in evaluating AI tools. Medical schools should consider integrating AI into their curricula to enhance students' preparedness for future medical practice. Assessing students' readiness for AI in healthcare is crucial for identifying knowledge and skills gaps and guiding future training efforts.
Authors
- Adhari AlZaabi (ORCID: https://orcid.org/0000-0003-4290-1272)
- Ken Masters (ORCID: https://orcid.org/0000-0003-3425-5020)
Institutions
- Sultan Qaboos University (OM)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1186/s12909-025-07008-x
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27