Neurology

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

11,926 articles
Stay Ahead - Weekly Neurology research updates
Subscribe
Browse Categories
Showing 1618-1638 of 11,926 articles
Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers.

This study proposes a framework to stratify vascular disease patients based on brain health and cere...

Identifying the NEAT1/miR-26b-5p/S100A2 axis as a regulator in Parkinson's disease based on the ferroptosis-related genes.

OBJECTIVES: Parkinson's disease (PD) is a complex neurodegenerative disease with unclear pathogenesi...

Healthy core: Harmonizing brain MRI for supporting multicenter migraine classification studies.

Multicenter and multi-scanner imaging studies may be necessary to ensure sufficiently large sample s...

Research on multi-label recognition of tongue features in stroke patients based on deep learning.

Stroke has become the leading cause of disability in adults worldwide. Early precise rehabilitation ...

Prediction of prognosis in patients with cerebral contusions based on machine learning.

Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral ...

Neuromorphic-enabled video-activated cell sorting.

Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions i...

Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors.

BACKGROUND: Dementia is a major public health challenge in modern society. Early detection of high-r...

A robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network.

Parkinson's disease (PD) is a neurodegenerative disease affecting millions of people around the worl...

Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.

BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition dec...

NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion.

Chemically induced neurotoxicity is a critical aspect of chemical safety assessment. Traditional and...

Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models.

Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like p...

EEG-based emotion recognition using multi-scale dynamic CNN and gated transformer.

Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has be...

Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.

Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking pro...

Decoding of pain during heel lancing in human neonates with EEG signal and machine learning approach.

Currently, pain assessment using electroencephalogram signals and machine learning methods in clinic...

Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.

Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke...

Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning.

We used machine learning to investigate the residual visual field (VF) deficits and macula retinal g...

SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI.

Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent ...

A proficient approach for the classification of Alzheimer's disease using a hybridization of machine learning and deep learning.

Alzheimer's disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the ...

Browse Categories