Article

Improving CXR Report Labeling Through LLM Fine-Tuning and Human Feedback

2025-04-21

Abstract excerpt

Automated labeling of radiological findings from free-text chest X-ray reports is a critical task for enabling large-scale clinical research and developing artificial intelligence applications in medical imaging. However, manual annotation is prohibitively expensive and time-consuming. Existing automated methods, including rule-based systems, traditional machine learning, fine-tuned smaller language models like BE...

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Literature Corpus work: 38995a70-c563-549c-843d-17ca45543365
DOI: 10.20944/preprints202504.1668.v1

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