Neurology

Research priorities in Spine Deformity: a machine learning-based topic analysis of the journal's first decade (2013-2026).

PURPOSE: Spine Deformity is the official journal of the Scoliosis Research Society (SRS) and the lea...

State-of-the-art review in AI and digital technologies for spine deformity.

PURPOSE: Artificial intelligence (AI) and digital technologies are increasingly being used across th...

Cross-docking and redocking reveal distinct determinants of success in physics-based and AI-driven binding pose prediction in protein-ligand complexes.

Protein-ligand pose prediction is central to structure-based drug discovery, yet the relative perfor...

Role Framing and Trust in Medical AI: Evidence from a Scenario Experiment and EEG.

Online medical AI has evolved from back-end analytical tools to patient-facing service interfaces, m...

Methylation profiling in CNS tumor diagnostics: a single-centre real-world experience from Central Europe.

Genome-wide DNA methylation profiling has transformed neuro-oncology by providing an objective, mach...

BasNet: Attention U-Net-Based Automated Axon Segmentation in Bielschowsky Silver-Stained Histology.

Reliable automatic quantification of axon density in histologic sections is important for both resea...

A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography.

OBJECTIVE: Magnetic resonance neurography (MRN) enables high-resolution visualization of peripheral ...

SingLEM: Single-Channel Large EEG Model.

Current deep learning models for electroencephalography (EEG) are often task-specific and depend on ...

Gluteus Minimus Indentation Is Associated With Acetabular Undercoverage and Increased Femoral Torsion in Patients With Nontraumatic Hip Pain.

BACKGROUND: Although the hip is generally considered a stable joint, certain morphological configura...

Predicting Headache at Age 40 Using Machine Learning: A Life-Course Analysis from the 1982 Pelotas Birth Cohort, Brazil.

OBJECTIVE: This study aims to develop and evaluate machine learning (ML) models predicting headache ...

Gut microbiota correlating with glycerophospholipid metabolism dysregulation is associated with brain functional alterations in adolescent depression.

Gut microbiota dysbiosis has been linked to depression; however, evidence regarding this association...

Passive Digital Marker-enabled identification and engagement for Alzheimer's disease and related dementias care in primary care: the INCLUDE study protocol.

INTRODUCTION: More than half of older adults living with Alzheimer's disease and related dementias (...

Basal Ganglia Perivascular Space Enlargement Is Associated with Sustained Amyloid-β Accumulation in the Alzheimer's Disease Continuum: A Longitudinal Study.

RATIONALE AND OBJECTIVES: The perivascular spaces (PVS) serve as primary conduits for brain waste cl...

Interpretable multimodal MRI fusion in Alzheimer's disease classification using extended parallel multilink joint ICA and 3D ResNet.

Accurate identification of Alzheimer's disease (AD) stages is important for improving clinical under...

Transplantation of engineered spinal cord organoids restores functions after spinal cord injury.

Generating functional maturation neural organoids to model degenerative disease or replace large dam...

Data-driven neuropathology modelling of neurodegenerative disorders: how to implement artificial intelligence?

Disease-specific hypometabolic epicenters in dementia: Neural networks and clinical correlations.

BackgroundIn dementia, it remains unclear how the hypometabolism pattern relates to the intrinsic ne...

AI-Assisted Compressed Sensing for Optimized Inner Ear Imaging: a Multi-Rater MRI Evaluation of CSAI T2-DRIVE.

PURPOSE: High-resolution T2-weighted imaging is essential for preoperative assessment before cochlea...

Cortical lesions in multiple sclerosis: 25 years of progress, remaining challenges and future directions.

Cortical lesions have evolved from a largely overlooked pathological feature to a central component ...

Global transitions of concomitant patterns and risk factors of cardio-renal-metabolic conditions among the elderly.

BACKGROUND: Cardio-renal-metabolic (CRM) diseases-including ischemic heart disease (IHD), stroke, ty...

Major Depressive Disorder Signatures: A Review of Artificial Intelligence (AI)-Powered Insights Into Gut Dysbiosis.

BACKGROUND AND AIMS: Major Depressive Disorder (MDD) is a highly common neuropsychiatric disorder gl...