Article

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records

2026-01-25

Abstract excerpt

<h4>Objective</h4> Accurate and scalable dementia phenotyping from electronic health records (EHRs) is foundational for population-level research, risk prediction, and learning health system interventions. Traditional rule- and keyword-based approaches are limited by inconsistent documentation and inability to capture clinical nuance. We aim to develop and evaluate a framework that leverages large language models...

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Literature Corpus work: 55a57a95-c72c-5e6f-81dc-b036c041c488
DOI: 10.64898/2026.01.24.26344477

Open publication

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