Artificial intelligence-enabled point-of-care EEG allows rapid bedside seizure detection, accelerating treatment and preventing unnecessary care escalation.

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of ...

A pilot deployment of a generative artificial intelligence (AI) registry identified patients with drug-resistant epilepsy ...

Datasea (Nasdaq:DTSS) announced progress on R&D efforts related to its brain-computer interface (BCI) technologies.

The multidisciplinary epilepsy surgical conference review frequently alters SOZ interpretation and surgical plans for drug-resistant epilepsy.

Traditional BCIs rely on static algorithms that struggle to adapt to rapid fluctuations in EEG signals. Datasea's real-time closed-loop vibration enhancement approach is designed to support dynamic ...

SHANGHAI - In a quiet ward at Shanghai's Huashan Hospital, a 28-year-old who has been paralyzed for eight years was playing ...

Calibri is "less complex and easier for the eye and the brain to process. It doesn’t have as much clutter as Times New Roman.

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...

Researchers created pea-sized brain structures from stem cells to study neural firing patterns, correctly identifying bipolar disorder and schizophrenia.