Article
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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Identifiers and source
- Literature Corpus work
- 257038b3-d19e-5547-ac0b-69cde29dc22a
- DOI
- 10.21203/rs.3.rs-8163345/v1
