Neurology

Boundary-aware and discrepancy-guided dynamic pseudo-labeling with consistency learning for semi-supervised 3D TOF-MRA cerebrovascular segmentation.

Objective.Cerebrovascular diseases are a major global health challenge due to their high morbidity and mortality rates. Accurate segmentation of cerebrovascular structures in TOF-MRA is crucial for accurate diagnosis and treatment planning. However, it remains difficult due to the variability in vessel morphology and the scarcity of annotations.Approach.In this paper, we propose BDD-CL, a boundary...

Data-driven neurobiological subtyping of Parkinson's disease using diffusion MRI-derived isotropic diffusion.

Brain imaging reveals hierarchical topology changes and stage-dependent impairments in autoimmune encephalitis.

BACKGROUND: Autoimmune encephalitis is a rapidly progressing neurological disorder caused by aberrant immune responses against neural antigens. It pre...

ChatGPT-4 reliability when applied to the regional anesthesia technique sonoanatomy.

BACKGROUND: Ultrasound-guided regional anesthesia is commonly used to enhance perioperative analgesia. However, the technique is limited by inter-oper...

Early Prediction of Adverse Stroke Outcomes using Non-clinical Factors and Missing Data: A Machine Learning Study.

Introduction Early prediction of stroke outcomes using prognostic tools may help clinical decision making and inform resource allocation. However, cli...

Memristive Reservoir Computing Circuit for Real-Time Prediction of Epilepsy.

The prediction of epileptic seizures can significantly improve patients' quality of life by enabling timely preventive interventions. However, realizi...

Identification of perception gaps between physicians and patients with neurological diseases and the prediction of these gaps using machine learning.

Understanding perception and communication gaps between patients with neurological diseases and their treating physicians is essential for optimizing ...

SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features.

Glaucoma remains a critical cause of permanent global visual disability, and is produced by advancing destruction of the visual nerve head (ONH). Earl...

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-motor symptoms. Mental and behavioural non-motor s...

Integrating standard and native spaces for radiomics and brain network analysis in Alzheimer's disease diagnosis and prognosis.

INTRODUCTION: Structural MRI analysis for Alzheimer's disease (AD) is limited by balancing group-level comparability in standard space with anatomical...

Surface-enhanced Raman spectroscopy of serum exosomes coupled with support vector machine for diagnosis of Parkinson's disease.

Parkinson's disease (PD) diagnosis faces substantial challenges due to the lack of reliable biomarkers and the limitations of existing detection techn...

Glymphatic dysfunction in trigeminal neuralgia: A multimodal MRI study.

BACKGROUND: Trigeminal neuralgia (TN) has traditionally been attributed to peripheral neurovascular compression at the trigeminal nerve root entry zon...

Readability, Accuracy, and Lexical Diversity of New ChatGPT Models for Common Carpal Tunnel Syndrome Questions.

BACKGROUND: Carpal tunnel syndrome (CTS) is a prevalent neuropathy in hand surgery that significantly affects people's quality of life. Frequently, pa...

Exploring the future of ischemic stroke diagnosis and underrecognized etiologies.

INTRODUCTION: Despite traditional workups, accurate diagnosis of patients who are classified under cryptogenic stroke with underrecognized etiologies ...

CGLK-GNN : A connectome generation network with large kernels for GNN based Alzheimer's disease analysis.

Alzheimer's disease (AD) is a currently incurable neurodegenerative disease, with early detection representing a high research priority. AD is charact...

Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.

PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning predictions of age using fundus images from teleretin...

Dual Framework for Classification and Detection of Third Molar Impaction in Panoramic Radiographs.

BACKGROUND: The surgical extraction of impacted mandibular third molars present significant clinical challenges, where accurate preoperative assessmen...

The potential of optical coherence tomography angiography in progressive multiple sclerosis.

Early detection and monitoring of neurodegenerative processes in persons with multiple sclerosis (PwMS) is currently a major challenge. Optical cohere...

Accessible assessment of motor and cognitive symptoms in Parkinson's disease: integrating large datasets, machine-learning, and videoconferencing.

In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalability, and geographical diversity challenges. We aimed...

AI-driven biomarker learning for the early diagnosis of neurodegenerative diseases: ABLEDx.

BACKGROUND: Tears are an easily accessible biofluid that reflects both emotional states and disease conditions. They are particularly enriched in extr...