Neurology

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

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TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets che...

Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.

BACKGROUND: There is a growing interest in exploring industrial-grade collaborative robots (cobots) ...

Machine learning and complex network analysis of drug effects on neuronal microelectrode biosensor data.

Biosensors, such as microelectrode arrays that record in vitro neuronal activity, provide powerful p...

Machine learning and clinical EEG data for multiple sclerosis: A systematic review.

Multiple Sclerosis (MS) is a chronic neuroinflammatory disease of the Central Nervous System (CNS) i...

A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy...

NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.

Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in...

Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction.

OBJECTIVE: To construct an Alzheimer's Disease Knowledge Graph (ADKG) by extracting and integrating ...

A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI.

Parkinson's disease ranks as the second most prevalent neurological disorder after Alzheimer's disea...

Identification and Validation of Glycosylation‑Related Genes in Ischemic Stroke Based on Bioinformatics and Machine Learning.

Ischemic stroke (IS) constitutes a severe neurological disorder with restricted treatment alternativ...

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

Exploring the pathogenic mechanisms of brain disorders within population is an important research in...

Flexor Synergy Assessment and Therapy for Persons With Stroke Using the ULIX Low Impedance Robot.

The flexor synergy after stroke results in involuntary activation of distal muscles when lifting the...

SMANet: A Model Combining SincNet, Multi-Branch Spatial-Temporal CNN, and Attention Mechanism for Motor Imagery BCI.

Building a brain-computer interface (BCI) based on motor imagery (MI) requires accurately decoding M...

Self-supervised spatial-temporal contrastive network for EEG-based brain network classification.

Electroencephalogram (EEG)-based brain network analysis has shown promise in brain disease research ...

Documentation, Coding, and Billing for Neurologic Services and Procedures.

Documentation, coding, and billing (claims submission) are foundational to neurologic practice in th...

Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.

Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the opti...

Interictal network dysfunction and cognitive impairment in epilepsy.

Epilepsy is diagnosed when neural networks become capable of generating excessive or hypersynchronou...

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