Latest AI and machine learning research in seizures for healthcare professionals.
To leverage sleep foundation models trained on large datasets of polysomnography for neurological di...
To improve the detection performance of epileptic electroencephalogram (EEG) signals and address the...
Accurate early prediction of neurological outcomes in comatose patients after cardiac arrest is crit...
We investigated whether sleep features from multi-night, at-home in-ear EEG could distinguish mild c...
Mild traumatic brain injury (mTBI) is a heterogeneous condition with long-term sequelae, yet diagnos...
Major depressive disorder (MDD) with suicidality represents a significant public health concern, as ...
Detecting schizophrenia (SZ) from electroencephalography (EEG) signals using machine- and deep learn...
Epilepsy affects around 50 million people worldwide and remains a major diagnostic challenge, partic...
Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive ...
Differentiating between motor functional dissociative seizures (FDS) and motor epileptic seizures (E...
In this study, we investigated whether individual brain maps of natural frequencies derived from EEG...
Mild cognitive impairment (MCI) is an intermediate stage between normal ageing and dementia, with af...
Large language models are increasingly used for clinical decision support yet may perpetuate socioec...
Cognitive motor dissociation (CMD) is associated with long-term recovery in acute brain injury, but ...
The Sense of Embodiment (SoE) refers to the subjective experience of perceiving a non-biological bod...
BACKGROUND: Self-limited epilepsy with centrotemporal spikes (SeLECTS), a common childhood focal epi...
Emotion recognition plays a significant role in artificial intelligence and human-computer interacti...
BACKGROUND: Epilepsy, the tendency to have recurrent seizures, can have various causes, including br...
BACKGROUND: Epilepsy remains the most common and chronic disorder demanding longterm management. The...
Closed-loop electricalstimulation of brain structures is one of the most promising techniques to sup...
Machine learning (ML) and deep learning (DL) techniques have been widely applied to analyze electr...