Assessment reveals AI's potential in pediatric education, indicating need for balancing reliability and cost-effectiveness.
Generative AI in its current form cannot yet match human expertise in producing consistently high-quality MCQs for pediatrics. However, AI shows potential as a supplementary tool, particularly within hybrid human-AI workflows that combine efficiency with expert oversight. These findings highlight both the opportunities and limitations of AI in medical education assessment and underscore the importance of balancing reliability, validity, acceptability, and cost-effectiveness when integrating AI into assessment design.
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Knight et al. (2026) studied this question.
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