Article

A Framework for Extraction of Clinical Information from Radiological Mammography Reports Using Large Language Models and Retrieval Augmented Generation.

2024-09-26

Abstract excerpt

<title>Abstract</title> <p>Background: The application of text mining in radiological reports is crucial for many tasks but principally analyzing and projecting trends to enhance diagnostic accuracy. This is especially important in mammography reports, where early detection is crucial. Large language models (LLMs) provide a viable alternative. They can generate accurate results from a limited set of examples comp...

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Literature Corpus work: d898dd8b-a720-58cb-bf71-ea2721864c3a
DOI: 10.21203/rs.3.rs-4927320/v1

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