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An Open-source Fine-tuned Large Language Model for Radiological Impression Generation: A Multi-reader Performance Study

2024-08-01

Abstract excerpt

<title>Abstract</title> <p>Background The impression section integrates key findings of a radiology report but can be subjective and variable. A fine-tuned open-source Large Language Model (LLM) was evaluated in its ability to generate radiological report impressions across different imaging modalities and hospitals. We sought to clinically validate an open-source fine-tuned LLM that automatically generates impr...

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Literature Corpus work: 4ccd7166-4c70-5b31-8b4c-cb05ab9f4fdc
DOI: 10.21203/rs.3.rs-4656707/v1

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