Neurology

Response to the Letter to the Editor, RE: A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence "Speak" spinal cord injury?

Multi-omics Mendelian randomization and machine learning identify candidate therapeutic targets for Alzheimer's and Parkinson's diseases.

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...

Opportunities and Challenges in Precision Neurotherapeutics.

Precision neurotherapeutics represents a transformative paradigm shift from standardized "one-size-f...

A Mixed Dual-Branch Network for Detecting Cervical Spondylotic Myelopathy and Parkinsonian Syndromes via Gait Analysis.

Cervical spondylotic myelopathy (CSM) and parkinsonian syndromes (PS) present similar motor symptoms...

Deep learning algorithm for semiquantification of spinal inflammation in axial spondyloarthritis.

OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in pat...

Hybrid quantum classical framework for electroencephalogram driven neurological processing in epileptic seizure taxonomy.

An attention-augmented multimodal classification of alzheimer's disease and parkinson's disease vs healthy controls using MRI, EEG, and SNP data.

Due to the late manifestation of structural symptoms and symptomatic overlap, neurodegenerative dise...

Sex Differences in Alzheimer's Disease: A Systematic Review of Two Decades of Neuroimaging Research.

OBJECTIVES: Given the heterogeneous nature of Alzheimer's Disease (AD) and its higher prevalence in ...

Hundred-Nanosecond Equivalent Pixel Dwell Time for Deep-Tissue 3D Three-Photon Fluorescence Microscopy via Sparse X-Y-Z Reconstruction.

Three-photon fluorescence microscopy (3PFM) enables high-resolution volumetric imaging in deep tissu...

Enhancing Brain-Computer interface performance through source-level attention mechanism: An EEG motor imagery study.

BACKGROUND: Brain-computer interfaces (BCIs) enable direct communication between humans and machines...

Alzheimer's disease prediction via an explainable CNN using genetic algorithm and SHAP values.

Convolutional neural networks (CNNs) are widely recognized for their high precision in image classif...

Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications.

CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician...

Shape matters: Predicting Huntington's disease using progression modelling.

BACKGROUND: Despite evidence of group-level differences in striatal morphometry among persons with H...

ACFSENet: an adaptive cross-frequency global sparse encoding network for end-to-end EEG emotion recognition.

End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in ...

Explainable AI for pain perception: subject-independent EEG decoding using DeepSHAP and CNNs.

Objective.Accurate classification of pain levels is essential for clinical monitoring, particularly ...

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to b...

Stratifying amyloid burden in early Alzheimer's disease using cascaded attention-guided vision transformer using [¹⁸F]Florbetapir PET.

OBJECTIVES: This study aims to develop a deep learning model to assist physicians in accurately clas...

Utilisation of Machine Learning Approaches Improves RNA-Seq Transcriptome Analyses in Alzheimer's Disease Brain.

UNLABELLED: Alzheimer’s disease (AD) is a neurodegenerative disorder that progressively deteriorates...

Automatic radiation-free evaluation of Cobb angle for spinal curvature based on fringe projection profilometry and deep learning technology.

OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curv...

Prompting and Fine-Tuning Large Language Models for Parkinson Disease Diagnosis: Comparative Evaluation Study Using the PPMI Structured Dataset.

BACKGROUND: Parkinson disease (PD) presents diagnostic challenges due to its heterogeneous motor and...

Modeling Ischemic Stroke Pathological Dynamics via Continuous Fields and Vector Flow.

Precise localization of perfusion deficits in diffusion-weighted MRI (DWI) is critical for acute isc...