Neurology

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

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Personalized ML-based wearable robot control improves impaired arm function.

Portable wearable robots offer promise for assisting people with upper limb disabilities. However, m...

Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery.

AIMS: Proximal junctional kyphosis (PJK) is a prevalent and detrimental complication associated with...

Repurposing FDA-approved drugs for treatment of amyotrophic lateral sclerosis using machine learning.

INTRODUCTION: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by lo...

Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.

BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significan...

Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previ...

Optimal mean arterial pressure for favorable neurological outcomes in patients after cardiac arrest.

BACKGROUND: Optimal mean arterial pressure (MAP) range after cardiac arrest remains uncertain. This ...

Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.

Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leadi...

Circuit re-construction after traumatic spinal cord injury by cellular and pharmacological approaches.

Extensive neuronal loss, progressive neurodegeneration, and circuit impairment are the key pathologi...

AI-Driven Electrographic Seizure Classification and Seizure Onset Detection Using Image- and Time-Series-Based Approaches.

OBJECTIVE: Manually distinguishing between seizure and non-seizure events in intracranial electroenc...

β-lactam resistance: epidemiological trends, molecular drivers, and innovative control strategies in the post-pandemic era.

SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremi...

Artificial Electric Synapse of CuI-Based Memristor for Neuromorphic Emotion Recognition and Neural Networks.

Emotion classification is pivotal for advancing human-computer interaction, where it necessitates ef...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

Uncovering locomotor learning dynamics in people with Parkinson's disease.

Locomotor learning is important for improving gait and balance impairments in people with Parkinson'...

Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the se...

Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson's disease.

Idiopathic REM sleep behavior disorder (iRBD) is a strong predictor of neurodegenerative diseases li...

Contrastive learning-driven framework for neuron morphology classification.

The Neuron morphology classification is a critical task in neuroscience research, as the morphologic...

Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks.

Brain networks exhibit diverse topological structures to adapt and support brain functions. The chan...

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