Latest AI and machine learning research in seizures for healthcare professionals.
Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its...
Epilepsy is a common brain disease that causes different types of seizures, with an incidence rate o...
OBJECTIVE: Interictal high-frequency oscillations (HFOs) are a promising neurophysiological biomarke...
The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce cre...
Strategies to predict neonatal seizure risk have typically focused on long-term static predictions w...
Electroencephalography (EEG) preprocessing varies widely between studies, but its impact on classifi...
. Electroencephalography (EEG) signals can reflect motor intention signals in the brain. In recent y...
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses...
Multi-variate time-series are one of the primary data modalities involved in large classes of proble...
OBJECTIVE: In recent years, seizure detection using wearable technology has gained significant atten...
Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...
The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and c...
Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...
PURPOSE: Music perception is a fundamental human experience, integral to cognitive and emotional pro...
PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine lea...
Epilepsy is a common manifestation in patients with lower grade glioma (LGG), often presenting as th...
BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...
Recent advances in artificial intelligence (AI) and machine learning (ML) can revolutionize neuromod...
EEG-based seizure prediction enables timely treatment for patients, but its performance is limited b...
Due to the lack of validated universal seizure markers, population-level prediction methods often ex...