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AI-Driven EEG Interpretation Accuracy by 010203adn is a document available to read on EtoBox.
The study developed and validated an AI model, SCORE-AI, for automated interpretation of clinical electroencephalograms (EEGs), achieving diagnostic accuracy comparable to human experts. Trained on a dataset of 30,493 EEG recordings, SCORE-AI can distinguish between normal and abnormal EEGs and classify abnormalities into clinically relevant categories. The findings suggest that SCORE-AI could enhance patient care in underserved regions and improve efficiency in specialized epilepsy centers.
- Author
- 010203adn
- Language
- EN