Neurology

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

11,850 articles
Stay Ahead - Weekly Neurology research updates
Subscribe
Browse Specialties
Showing 547-567 of 11,850 articles
O-GEST: Overground gait events detector using b-spline-based geometric models for marker-based and markerless analysis.

Accurate gait events detection is imperative for reliable assessment of normal and pathological gait...

Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma.

Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as pituitary neuroendo...

UANV: UNet-based attention network for thoracolumbar vertebral compression fracture angle measurement.

Kyphosis is a prevalent spinal condition where the spine curves in the sagittal plane, resulting in ...

Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome.

Incomplete tetraplegia, incomplete paraplegia, and cauda equina syndrome are major neurological diso...

Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemi...

Emotion recognition with multiple physiological parameters based on ensemble learning.

Emotion recognition is a key research area in artificial intelligence, playing a critical role in en...

Neurodegeneration Promotes Tumorigenesis in Colorectal Cancer: Insights From Single-Cell and Spatial Multiomics.

PURPOSE: Colorectal cancer (CRC) ranks third in global incidence and second in mortality, with rates...

Cerebral aneurysm surgical training in the neuroendovascular era and its impact on the production of comfortable aneurysm surgeons.

BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intrac...

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

BACKGROUND: Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, ...

StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. T...

Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid pla...

Explainable machine learning model predicting neurological deterioration in Wilson's disease via MRI radiomics and clinical features.

BACKGROUND: This study aims to build a machine learning (ML) model to predict the deterioration of n...

Angular correlation-based feature selection for machine learning classification of manual automatisms using body sensor network data.

Automatisms are repetitive, semi-ordered movements often observed in focal impaired awareness seizur...

Topological Insulators Boost Ultralow-Power Neuromorphic Spintronics: Advancing Handwritten Digit Recognition with High SOT Efficiency.

Neuromorphic spintronics devices driven by spin-orbit torque (SOT) offer advantages in integration d...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robot...

Optimal graph representations and neural networks for multichannel time series data in seizure phase classification.

In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of...

An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.

Mitophagy, the selective autophagic elimination of mitochondria, is essential for maintaining mitoch...

Decreased spinal inhibition leads to undiversified locomotor patterns.

During walking and running, animals display rich and coordinated motor patterns that are generated a...

Dynamically weighted graph neural network for detection of early mild cognitive impairment.

Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly...

Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.

Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-...

Browse Specialties