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Prompt Engineering Enables Open-Source LLMs to Match Proprietary Models in Diagnostic Accuracy for Annotation of Radiology Reports

2025-10-20

Abstract excerpt

<h4>Aim</h4> The aim of this study was to test whether open-source Large Language Models (LLMs) can match the diagnostic accuracy of proprietary models in annotating Danish trauma radiology reports across three clinical findings. <h4>Materials and Methods</h4> This retrospective study included 2,939 radiology reports of trauma radiographs collected from three Danish emergency departments. The data were split, wi...

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Literature Corpus work
52342c87-aadb-5429-8134-70507d3a691f
DOI
10.1101/2025.10.13.25337785
Open publication

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Prompt Engineering Enables Open-Source LLMs to Match Proprietary Models in Diagnostic Accuracy for Annotation of Radiology ReportsDOI 10.1101/2025.10.13.25337785
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