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Performance of Open-Source LLMs in Challenging Radiological Cases – A Benchmark Study on 1,933 Eurorad Case Reports

2024-09-06

Abstract excerpt

Recent advancements in large language models (LLMs) have created new ways to support radiological diagnostics. While both open-source and proprietary LLMs can address privacy concerns through local or cloud deployment, open-source models provide advantages in continuity of access, and potentially lower costs. In this study, we evaluated the diagnostic performance of eleven state-of-the-art open-source LLMs using c...

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Literature Corpus work
8284be19-e5e7-541c-9c52-5ebcff41d0b6
DOI
10.1101/2024.09.04.24313026
Open publication

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Performance of Open-Source LLMs in Challenging Radiological Cases – A Benchmark Study on 1,933 Eurorad Case ReportsDOI 10.1101/2024.09.04.24313026
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