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Article

Novel Large Language Model-Based Detection of Echocardiographic Markers of Right Ventricular Dysfunction

2026-08-31

Abstract excerpt

<h4>Background: </h4> Unstructured biomedical data, such as echocardiography reports, are rich in information but time consuming to analyze at scale. Rule-based, regular expression-driven terminology mapping can only extract individual variables while large language models (LLMs) offer scalable and clinically meaningful interpretations of heterogeneous disease processes. Right ventricular dysfunction (RVD) is an e...

Identifiers and source

Literature Corpus work
a4780505-e993-5db9-abc4-390414ee6f9b
DOI
10.64898/2026.08.26.26361456
Open publication

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Novel Large Language Model-Based Detection of Echocardiographic Markers of Right Ventricular DysfunctionDOI 10.64898/2026.08.26.26361456
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