Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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Deep learning models as learners for EEG-based functional brain networks.

Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EE...

Predicting EEG seizures using graded spiking neural networks.

To develop and evaluate a novel, non-patient-specific epileptic seizure prediction system using grad...

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.

Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a n...

On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network.

The study introduces an innovative approach to efficient mental stress detection by combining electr...

Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning.

Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures ...

EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet ...

REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification.

High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due...

Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation.

Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for ...

Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...

Near-lossless EEG signal compression using a convolutional autoencoder: Case study for 256-channel binocular rivalry dataset.

Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sam...

Deep Learning Enhanced Near Infrared-II Imaging and Image-Guided Small Interfering Ribonucleic Acid Therapy of Ischemic Stroke.

Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP...

Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians.

BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuo...

Canine EEG helps human: cross-species and cross-modality epileptic seizure detection via multi-space alignment.

Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along wit...

Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine.

Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhanc...

AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies.

The Morris Water Maze (MWM) is a widely used behavioral test to assess the spatial learning and memo...

A deep learning model for radiological measurement of adolescent idiopathic scoliosis using biplanar radiographs.

BACKGROUND: Accurate measurement of the spinal alignment parameters is crucial for diagnosing and ev...

An Efficient Approach for Detection of Various Epileptic Waves Having Diverse Forms in Long Term EEG Based on Deep Learning.

EEG is the most powerful tool for epilepsy discharge detection in brain. Visual evaluation is hard i...

Deep learning models for improving Parkinson's disease management regarding disease stage, motor disability and quality of life.

BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) foc...

Strategies for mitigating data heterogeneities in AI-based neuro-disease detection.

In this NeuroView, we discuss challenges and best practices when dealing with disease-detection AI m...

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