In applying this approach to psychiatric conditions, Brainify.AI draws on rich datasets containing millions of EEG samples and billions of data points from 15,000 patients that serve as training ...

Researchers developed a new AI tool that detects subtle changes in brain wave patterns, predicting cognitive decline before symptoms appear and opening new possibilities for early detection.

Behavioral scoring based on clinical observations remains the gold standard for screening, diagnosing,and evaluating ...

The AI model employs a hybrid deep learning approach combining convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures. CNNs extract spatial features from EEG data, while ...

But current methods remain challenging. Dr. Amir Jahanian-Najafabadi from Constructor University has been conducting a series of studies exploring the use of advanced computational models applied on ...

This manuscript addresses the role of alpha oscillations in sensory gain control. The authors use an attention-cuing task in an initial EEG study followed by a separate MEG replication study to ...

Their accessibility and ease of use, combined with remote access to both raw and scored EEG data after each recording, open up exciting new opportunities to explore the sleeping brain at scale in ...