Article

Automated Interpretation of EEG Reports Using a Large Language Model with Structured Confidence Outputs

2026-07-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To evaluate a large language model (LLM) pipeline for extracting structured diagnostic labels and confidence levels from unstructured free-text EEG reports, addressing the barrier of narrative data analysis. <h4>Methods</h4> We developed a hierarchical schema classifying reports for four abnormality types using a four-point confidence scale. Two certified EEG technologists e...

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Literature Corpus work: 5bc87d24-c668-590d-a048-928d53069efd
DOI: 10.64898/2026.07.07.26357190

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