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Causal-RAG: Causally-Augmented Retrieval for Hallucination-Free Clinical Decision Support in Low-Resource Settings

2025-11-21

Abstract excerpt

<title>Abstract</title> <p>This research addresses a critical challenge in using artificial intelligence for healthcare in low-resource settings: the tendency of AI models to produce confident but incorrect information, a phenomenon known as hallucination. We propose Causal-RAG, a novel framework that enhances standard Retrieval-Augmented Generation (RAG) by integrating principles of causal inference. The goal is...

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Literature Corpus work
257038b3-d19e-5547-ac0b-69cde29dc22a
DOI
10.21203/rs.3.rs-8163345/v1
Open publication

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Causal-RAG: Causally-Augmented Retrieval for Hallucination-Free Clinical Decision Support in Low-Resource SettingsDOI 10.21203/rs.3.rs-8163345/v1
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