Neurology

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

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Electroencephalography-Based Machine Learning Models for Predicting Ketogenic Diet Outcomes in Pediatric Drug-Resistant Epilepsy.

BACKGROUND: Ketogenic diet therapy (KDT) is an established treatment for drug-resistant epilepsy (DR...

Feb 2026 41825260
Subregional limbic radiomics on FDG-PET provides accurate early detection of Alzheimer's disease.

BACKGROUND: To investigate the radiomics features of the hippocampus and the amygdala subregions in ...

Feb 2026 41715018
Privacy-preserving multimodal fusion for Alzheimer's staging: A federated vision transformer framework with explainable AI.

Accurate, early-stage staging of Alzheimer's disease (AD) is critical for therapeutic intervention b...

(2)
Feb 2026 41723900
Motor imagery EEG signal classification using minimally random convolutional kernel transform and hybrid deep learning.

The brain-computer interface (BCI) establishes a non-muscle channel that enables direct communicatio...

Feb 2026 41719718
Artificial intelligence-driven nano-enhanced stem cell therapy for neurodegenerative diseases: from rational design to clinical translation.

Neurodegenerative diseases (NDs) are progressive and incurable central nervous system disorders char...

Feb 2026 41709202
Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review.

BACKGROUND: Stroke is a complex, multidimensional disorder influenced by interacting inflammatory, i...

Feb 2026 41711384
Bimodal EEG-fNIRS and Deep Learning for Classifying Intensity-Dependent Cortical Auditory Evoked Responses.

Detection of intensity-dependent cortical auditory evoked responses using electroencephalography (EE...

Feb 2026 41712398
Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.

IntroductionStroke is a leading cause of disability worldwide. This study uses Machine Learning mode...

Feb 2026 41712473
Deep learning models identify brain changes during the progression of Alzheimer's disease.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely ...

(1)
Feb 2026 41714635
The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

ObjectiveTo summarise the evidence for changes in physical activity outcomes during robot-assisted g...

Feb 2026 41706608
Medical large language models and systems in the clinical application of spinal diseases: Current status, challenges, and future prospects.

Large Language Models (LLMs), represented by the Generative Pretrained Transformer (GPT), are profou...

Feb 2026 41738015
Morphology-adaptive Au-Ag nanowire elastronics for integrated FlexoSERS and bioelectrical sensing.

We introduce a morphology-adaptive Au-Ag nanowire elastronic platform that conforms to diverse geome...

Feb 2026 41706838
Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed Tomography.

Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshal...

(3)
Feb 2026 41705651
Diagnosis of Primary Open-Angle Glaucoma Using Spectral Profiling of Aqueous Humor-Derived Exosomes.

Primary open-angle glaucoma (POAG) is one of the most common neurodegenerative diseases that cause i...

(1)
Feb 2026 41707013
Neuropathologic basis of quantitative susceptibility mapping in the substantia nigra: contributions of tau, pigmented neurons, and iron.

Quantitative susceptibility mapping (QSM) on MRI quantifies tissue magnetic susceptibility, which in...

Feb 2026 41708563
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