Neurology

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

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Beyond averaging: A transformer approach to decoding event related brain potentials.

The objective of this study is to assess the potential of a transformer-based deep learning approach...

Optimizing stroke prediction using gated recurrent unit and feature selection in Sub-Saharan Africa.

BACKGROUND: Stroke remains a leading cause of death and disability worldwide, with African populatio...

Natural language processing-based classification of early Alzheimer's disease from connected speech.

INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) eme...

An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pat...

Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scolios...

Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor.

Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the...

NAVT-net neuron attention visual taylor network for lung cancer detection using CT images.

Lung Cancer is regarded as a common fatal disease affecting humans throughout the entire world. Earl...

Age group classification based on optical measurement of brain pulsation using machine learning.

Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential fo...

Identification of Novel Biomarkers for Ischemic Stroke Through Integrated Bioinformatics Analysis and Machine Learning.

Ischemic stroke leads to permanent damage to the affected brain tissue, with strict time constraints...

Machine learning-based algorithm of drug-resistant prediction in newly diagnosed patients with temporal lobe epilepsy.

OBJECTIVES: To develop a predicted algorithm for drug-resistant epilepsy (DRE) in newly diagnosed te...

Decoding cortical folding patterns in marmosets using machine learning and large language model.

Macroscale neuroimaging results have revealed significant differences in the structural and function...

Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

The quantitative evaluation of motor function in experimental stroke models is essential for the pre...

Alzheimer's Disease: Exploring Pathophysiological Hypotheses and the Role of Machine Learning in Drug Discovery.

Alzheimer's disease (AD) is a major neurodegenerative dementia, with its complex pathophysiology cha...

A comprehensive analysis of stroke risk factors and development of a predictive model using machine learning approaches.

Stroke is a leading cause of death and disability globally, particularly in China. Identifying risk ...

Current update on surgical management for spinal tuberculosis: a scientific mapping of worldwide publications.

INTRODUCTION: Spinal tuberculosis (TB), or Pott's disease, remains a significant global health issue...

Shared Control of Supernumerary Robotic Limbs Using Mixed Realityand Mouth-and-Tongue Interfaces.

Supernumerary Robotic Limbs (SRLs) are designed to collaborate with the wearer, enhancing operationa...

Clinical validation of an individualized auto-adaptative serious game for combined cognitive and upper limb motor robotic rehabilitation after stroke.

BACKGROUND: Intensive rehabilitation through challenging and individualized tasks are recommended to...

Enhanced detection of mild cognitive impairment in Alzheimer's disease: a hybrid model integrating dual biomarkers and advanced machine learning.

Alzheimer's disease (AD) is a complex, progressive, and irreversible neurodegenerative disorder mark...

Deep Learning Enabled Scoring of Pancreatic Neuroendocrine Tumors Based on Cancer Infiltration Patterns.

Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that include tumor...

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