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AI-Powered Test Question Generation in Medical Education: The DailyMed Approach

2024-11-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> L arge language models (LLMs) presents opportunities to improve the efficiency and quality of tools in medical education, such as the generation of multiple-choice questions (MCQs). However, ensuring that these questions are clinically relevant, accurate, and easily accesible and reusable remains challenging. Here, we developed DailyMed, an online automated pipeline using...

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Literature Corpus work
ee30da80-a126-5463-b127-68bc8e950a75
DOI
10.1101/2024.11.11.24317087
Open publication

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AI-Powered Test Question Generation in Medical Education: The DailyMed ApproachDOI 10.1101/2024.11.11.24317087
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