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Automated Interpretation of EEG Reports Using a Large Language Model with Structured Confidence Outputs
A large language model pipeline to extract structured diagnostic labels and confidence levels from EEG reports with near-human accuracy and strong generalization can effectively automate the extraction of structured diagnostic information from EEG reports with near-human accuracy and strong generalization.