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Articles by Zhaoyin Su
Leveraging large language models to generate multiple-choice questions for epilepsy education
Abstract Background: Large language models (LLMs) are increasingly used to generate medical assessment items, but their reliability for disease-specific question writing remains uncertain. We benchmarked seven LLMs for epilepsy single-best-answer multiple-choice question generation under a standardized blueprint, focusing on structural compliance, clinical accuracy, expert-rated quality and educational usability.
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