Article

RAD-CaseBookLLM-08: An open-access dataset of structured large language model–generated radiology differential diagnosis teachings

2026-04-10

Abstract excerpt

<h4>Background: </h4> Large language models are increasingly explored in medical education, particularly for generating structured explanatory content. However, openly accessible datasets capturing full-length model outputs in a standardized and reusable format remain limited. In radiology education, differential diagnosis teaching is typically organized around key imaging findings integrated with clinical reasoni...

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Literature Corpus work: 4bb50f10-47ef-5908-87bb-1ef218102001
DOI: 10.12688/f1000research.178297.2

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