Neurology

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

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PDXNet: An eXplainable Hybrid Attention Convolutional Neural Network for Parkinson's Disease Monitoring and Evaluation.

Parkinson's disease (PD), the second most common neurodegenerative disorder, affects patients and ca...

Feb 2026 41747114
CapsFormer: A Dual-Stream Causal-Aware Capsule-Transformer Network for EMG Signal Representation Learning.

Electromyography (EMG) signals are widely applied in prosthetic control, rehabilitation training, an...

Feb 2026 41747118
Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment.

BACKGROUND: The global population of People Living with Dementia (PLWD) is expected to grow rapidly ...

Feb 2026 41748878
AI-driven quality control of cell-based ATMPs: automated, accurate, and affordable.

BACKGROUND AIMS: The production of neuroepithelial stem (NES) cells, a promising therapeutic candida...

Feb 2026 42173007
Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

Inspired by the dynamic visual perception of flying insects, rapid collision warning systems are cru...

Feb 2026 41738434
Early Detection of Traumatic Brain Hematoma Using Machine Learning-Powered Near-Infrared Spectroscopy: A Case Report in a Kabaddi Player.

Traumatic brain injury is a significant concern in contact sports, with concussions being the most c...

Feb 2026 41736189
How much EEG is needed for deep learning with convolutional neural networks? Predicting the benefit from additional data.

Objective.This study quantifies how the accuracy of convolutional neural networks for electroencepha...

Feb 2026 41736475
Integrative computational and experimental identification of marine bacterial acetylcholinesterase inhibitors against alzheimer's disease.

Alzheimer's disease (AD) is a powerful neurodegenerative disease characterized by cholinergic defici...

Feb 2026 41739386
Machine learning integration of serial blood biomarkers enhances cognitive decline prediction in early Parkinson's disease.

Cognitive decline is a major non-motor complication in early Parkinson's disease (PD), but predictin...

Feb 2026 41741476
A neuroimaging functional connectivity signature of emotional conflict monitoring predicting cognitive decline in type 2 diabetes.

Type 2 diabetes (T2D) is associated with cognitive decline and neurodegenerative disorders. Changes ...

Feb 2026 41741619
Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint.

Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to d...

(1)
Feb 2026 41741853
Multi-scale kernel and electrode attention network for EEG-based epileptic seizure detection.

Epilepsy is a common chronic neurological disorder, and automated detection of epileptic seizures us...

Feb 2026 41747565
Identification and validation of key genes as diagnostic biomarkers for epilepsy using bioinformatics and machine learning.

Epilepsy is a common neurological disorder with a complex molecular pathogenesis. Approximately one-...

Feb 2026 41763075
Graph empirical mode decomposition and multiscale feature extraction for EEG-based classification of Alzheimer's disease and frontotemporal dementia.

BACKGROUND AND OBJECTIVE: Early and correct classification of neurodegenerative diseases like Alzhei...

(2)
Feb 2026 41806548
Regional brain age is decreased in children with sickle cell anemia.

DeepBrainNet, a machine learning tool, uses magnetic resonance imaging (MRI) to predict an individua...

(1)
Feb 2026 41733950
Enhanced Identification of Chronic Ankle Instability Under Different Conditions: A New Evaluation Framework Based on Feature Fusion and Machine Learning.

This study proposed a synergy-informed evaluation framework that integrates muscle synergy features ...

(1)
Feb 2026 41734114
Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimod...

Feb 2026 41734929
Robust learning framework for a scalable remote monitoring of autonomic dysreflexia: use-case in spinal cord injury.

The autonomous nervous system (ANS) response in neurological disorders is a direct modifiable risk f...

Feb 2026 41735364
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