Neurology

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

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Enhancing the Capability and Accuracy of Motor Imagery Classification: A Deep Neural Network-Powered Multifaceted Strategy Model.

Motor imagery (MI) is a popular noninvasive brain computer interface (BCI) paradigm, yet its decodin...

(1)
Aug 2026 41941779
Molecular Characterization and Immune Modulation of Schwann Cells in Vestibular Schwannoma.

Vestibular schwannoma (VS) is a benign tumor originating from the vestibular nerve, and its complex ...

Aug 2026 42226390
Evolution of the Neurometabolic Cascade of Traumatic Brain Injury.

Since the original descriptions by Giza and Hovda of the acute neurometabolic cascade of concussion ...

(2)
Aug 2026 42379666
MIF-MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion.

Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously ta...

(1)
Aug 2026 42423156
Predictive Modeling of the Need for Tracheostomy after Traumatic Cervical Spinal Cord Injury Using Machine Learning.

PURPOSE: Traumatic cervical spinal cord injury (TCSCI) frequently necessitates mechanical ventilatio...

(1)
Aug 2026 42494269
Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complicatio...

(1)
Aug 2026 42532811
Classification of tau status with machine learning models in amyloid-positive cohorts.

INTRODUCTION: Although tau positron emission tomography (PET) imaging is effective for staging tau p...

(1)
Aug 2026 42533677
Bulk and single-cell RNA-seq analyses characterize a DBP-related circadian signature in ischemic stroke.

Circadian rhythm disruption is associated with ischemic stroke outcomes, yet the roles of circadian ...

Jul 2026 42572586
Artificial intelligence in retinal imaging for early Alzheimer's disease detection: A review.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder that necessitates ear...

Jul 2026 42536022
The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain c...

(4)
Jul 2026 42536181
Predicting stroke risk using retinal imaging with artificial intelligence: a scoping review of current evidence.

BACKGROUND: Stroke remains a leading cause of mortality and long-term disability worldwide, while cu...

Jul 2026 42536191
Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis.

BACKGROUND: Several studies have explored the use of deep learning (DL) algorithms based on fundus p...

(1)
Jul 2026 42536192
Multimodal Management of Pain in Oral Squamous Cell Carcinoma: A Mechanism-Based Approach.

PURPOSE OF REVIEW: Oral squamous cell carcinoma (OSCC) is frequently associated with severe nocicept...

(1)
Jul 2026 42536272
Artificial intelligence for early diagnosis of mild cognitive impairment: A scoping review comparing diagnostic accuracy with physician performance.

BACKGROUND: Mild cognitive impairment (MCI) represents a clinically critical and heterogeneous syndr...

Jul 2026 42536568
Adaptive intrathecal nanorobotics in mice and nonhuman primates for navigated CNS therapy.

Intrathecal delivery for central nervous system (CNS) therapy lacks spatiotemporal control due to sp...

Jul 2026 42536754
Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis.

BACKGROUND: Sleep apnea (SA) is a serious sleep disorder, and its diagnostic gold standard, polysomn...

(6)
Jul 2026 42537009
Mental simulation practices in stroke rehabilitation reorganize brain connectivity: a systematic review.

BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor func...

Jul 2026 42537726
Artificial intelligence shows comparable or improved performance to traditional risk models in predicting atrial fibrillation after cryptogenic stroke.

BACKGROUND AND AIMS: Detecting subclinical atrial fibrillation (AF) and initiating anticoagulation t...

(1)
Jul 2026 42542707
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