Article

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial

2026-04-20

Abstract excerpt

<title>Abstract</title> <p>Background Large language models (LLMs) can synthesize clinical guidelines and generate diagnostic and treatment recommendations, yet clinician trust remains a barrier to adoption. Traditional approaches emphasize natural language explanations of LLM-aided recommendations and source citations, but their effectiveness in high-stakes clinical settings is uncertain. Objective To determin...

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Literature Corpus work: 976a4964-ff2d-5e0f-8d3d-1b486964523d
DOI: 10.21203/rs.3.rs-9227402/v1

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