Article

Evaluating and Validating an Artificial Intelligence Model for Automated Electroencephalogram Analysis: Implications for Clinical Practice

2025-12-29

Abstract excerpt

<h4>Background</h4> Epilepsy affects around 50 million people worldwide and remains a major diagnostic challenge, particularly in resource-limited settings. Electroencephalography (EEG) is essential for diagnosis but relies heavily on expert interpretation, often limited by workforce shortages. Artificial intelligence (AI) offers a promising solution to automate EEG interpretation, enhance diagnostic accuracy, an...

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Literature Corpus work: 0751b108-353e-5003-8d56-3d09e0f08685
DOI: 10.64898/2025.12.26.25343063

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