Telemedicine Revolution: Cutting Unnecessary Health Tests, Study FindsLow-value care—medical tests and procedures that ...
Abstract: Studies have shown that fast ripples of 250–500 Hz in epileptic electroencephalography (EEG) signals are more pathological and closer to the epileptogenic focus itself compared to ripples of ...
An AI-powered tool called MELD Graph is revolutionizing epilepsy care by detecting subtle brain abnormalities that ...
Scientists have developed an AI-powered tool that detects 64% of brain abnormalities linked to epilepsy that human radiologists miss.
The automated detection of epileptic spikes within these signals can significantly reduce the labor and time required for manual annotation of MEG recording data, thereby aiding clinicians in ...
There are three broad directions in which the next major advances may occur. First, there is the continued refinement of the current methodology. An improved hypothesis for the epileptogenic zone (EZ) ...
Scientists have developed an AI-powered tool that detects 64% of brain abnormalities linked to epilepsy that human radiologists miss.
This technique involves inserting intracranial electrodes via stereotactic methods to record and analyze intracranial EEG activity or induce seizures through exogenous electrical stimulation to ...
Astrocytes comprise half of the cells in the central nervous system and play a critical role in maintaining metabolic homeostasis. Metabolic dysfunction in astrocytes has been indicated as the primary ...
Similarly, I am intrigued by research exploring AI’s role in assessing the epileptogenic risk of focal MRI lesions in epilepsy patients being considered for surgery. While these are just examples, ...
The drawback of this method is that findings are limited to the areas that are plausible epileptogenic zones, often the anterior medial temporal lobe (AMTL) and inferior temporal areas.