Article

Data Extraction from Oncology Imaging Reports by Large Language Models: A Comparative Accuracy Study

2025-12-30

Abstract excerpt

<h4>Importance</h4> Manual data extraction from clinical text is resource intensive. Locally hosted large language models (LLMs) may offer a privacy-preserving solution, but their performance on non-English data remains unclear. <h4>Objective</h4> To investigate whether the classification accuracy of locally hosted LLMs is non-inferior to human accuracy when determining metastasis status and treatment response f...

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Literature Corpus work: 9b3913eb-97f5-5ac5-af86-0e3d80b078d4
DOI: 10.64898/2025.12.30.25343206

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