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Real-Time EEG-Based Epileptic Seizure Prediction Using Artificial Intelligence: A Systematic Review

2025-10-10

Abstract excerpt

<h4>Background</h4> Epilepsy affects approximately 50 million people worldwide, and seizures remain difficult to predict in onset, severity, and duration. Real-time seizure prediction may enable proactive intervention and improve patient safety and quality of life. Despite the development of high-performing algorithms, translation remains limited by predictive accuracy, interpretability, and generalisability. <h4...

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Literature Corpus work
0b7b8330-cd2c-5738-bec2-baef8e676d4e
DOI
10.1101/2025.10.09.25337692
Open publication

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Real-Time EEG-Based Epileptic Seizure Prediction Using Artificial Intelligence: A Systematic ReviewDOI 10.1101/2025.10.09.25337692
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