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Researchers have developed an AI system that analyzes brain activity and applies a predictive model at the same time to predict epileptic seizures with 99.6 % accuracy, up to an hour before they occur. The system would give patients with epilepsy time to prepare for the seizure by taking medication. The AI system uses a deep learning algorithm and constitutes a major leap forward from current prediction methods. While it will take some time before the system is available for widespread use - it promises life-changing news for people suffering from epilepsy.
Existing methods of prediction use an EEG (electroencephalogram) to analyze brain activity and only afterwards apply a predictive model. The new AI system was developed by Magby Bayoumi and Hisham Daoud at the University of Louisiana at Lafayette in the United States.
The World Health Organization estimates that there are close to 50 million patients around the world that have epilepsy, and 70% of those can control their seizures with medication.
Click here to read the full article.
Existing methods of prediction use an EEG (electroencephalogram) to analyze brain activity and only afterwards apply a predictive model. The new AI system was developed by Magby Bayoumi and Hisham Daoud at the University of Louisiana at Lafayette in the United States.
The World Health Organization estimates that there are close to 50 million patients around the world that have epilepsy, and 70% of those can control their seizures with medication.
Click here to read the full article.
