Researchers at Sultan Qaboos University's College of Medicine and Health Sciences use the MAIRS-MS questionnaire to evaluate medical students' AI readiness following preclinical exposure, revealing moderate preparedness overall yet significant gaps in cognition, particularly in AI terminology and data science.
Key points
- Students scored lowest in the cognition domain (mean=3.52), reflecting gaps in AI terminology and data-science knowledge.
- Vision domain achieved the highest score (mean=3.90), indicating strong ability to anticipate AI’s applications, risks, and limitations.
- No statistically significant differences in overall AI readiness were found based on gender or prior exposure to AI topics.
Why it matters: Assessing and improving AI readiness among medical students highlights crucial training gaps and guides curriculum enhancements for future healthcare innovations.
Q&A
- What is the MAIRS-MS questionnaire?
- Why focus on preclinical AI exposure?
- What do the cognition and vision domains measure?
- How reliable are the survey results?
