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.