The Epilepsy Foundation Central & South Texas recently held a training session on what to do when a person suffers a seizure.
The Manila Times on MSN
AI tool helps researchers treat child epilepsy
An artificial intelligence tool that can detect tiny, hard-to-spot brain malformations in children with epilepsy could help ...
News-Medical.Net on MSN
AI tool detects tiny brain lesions to improve epilepsy treatment in children
An advanced AI tool can detect tiny brain lesions that cause severe epilepsy in children, allowing faster diagnosis, more precise treatment and a potential cure, according to a new study.
Smithsonian Magazine on MSN
Some People Experience Blissful Ecstasy Right Before a Seizure. Could Understanding This Feeling Help Treat Depression?
A neurologist shares her thoughts and research about “ecstatic epilepsy” in a wide-ranging conversation on how we perceive ...
When explaining to her 3-year-old son about the implanted device that helps control her epileptic seizures, Aly Bukoski ...
It's been one year since Norton Healthcare became the only hospital in the region to offer high-intensity focused ultrasound ...
Good Housekeeping on MSN
7 Surprising Sauna Benefits That Will Make You Want to Sweat More Often
Considering that heart disease is the leading cause of death in the United States, these cardiovascular benefits are especially meaningful. Research confirms a strong heart protective benefit: People ...
In a new study, researchers at The Ohio State University used artificial intelligence (AI) tools to predict seizure outcomes ...
Separation anxiety can be a struggle for young kids starting preschool or kindergarten. For many of those children, it's ...
This week, Bobbi Conner talks with MUSC's Dr. Janelle Wagner about behavioral health interventions for children with epilepsy ...
Gradually exposing a child to separation can help them become more comfortable with it, Lee said. Parents can start by doing ...
Tech Xplore on MSN
‘Future-guided’ AI improves seizure prediction
AI-powered seizure detection offers up to 44.8% improved performance for predicting seizures compared to baseline methods.
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