AlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases

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AlzheimerRAG demonstrates improved retrieval of Alzheimer’s information, with accuracy comparable to human performance.
The application integrates textual and visual data, applying cross-modal attention fusion techniques for enhanced utility.
Experimental results outperform benchmarks like BioASQ and PubMedQA in synthesizing domain-specific clinical information.
A case study illustrates the application’s effectiveness across various Alzheimer’s clinical scenarios and low hallucination rates.

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AlzheimerRAG improves information retrieval in clinical scenarios, using multimodal techniques for accuracy.

Lahiri et al. (2025) studied this question.

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