Neurology

Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants.

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not val...

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke.

In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need qu...

Evaluating safe infrared neural stimulation parameters: Calcium dynamics and excitotoxicity thresholds in dorsal root ganglia neurons.

BACKGROUND: As a promising neural stimulation technique, infrared neural stimulation (INS) has recen...

Hand and Elbow Nerve Entrapments: MR Imaging Evaluation.

Entrapment neuropathies are the result of compression, displacement, traction, or irritation of peri...

Plexus and Peripheral Nerve MR Imaging: Advances and Applications: MR Neurography: Sequence Possibilities and Recent Advances.

MR neurography (MRN) has become a cornerstone in diagnosing and managing plexus and peripheral nerve...

Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types.

This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosth...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and int...

Evaluation of tumour pseudocapsule using computed tomography-based radiomics in pancreatic neuroendocrine tumours to predict prognosis and guide surgical strategy: a cohort study.

BACKGROUND: To date, indications for a surgical approach of small pancreatic neuroendocrine tumours ...

A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective.

In recent years, Artificial Intelligence (AI), with a specific emphasis on attention mechanisms inst...

Research on Machine Learning Models Based on Cranial CT Scan for Assessing Prognosis of Emergency Brain Injury.

BACKGROUND: To evaluate the prognosis of patients with traumatic brain injury according to the Compu...

Diagnostic challenges of carpal tunnel syndrome in patients with congenital thenar hypoplasia: a comprehensive review.

Carpal Tunnel Syndrome (CTS) is the most common entrapment neuropathy, frequently presenting with pa...

Fibrogenesis-driven tumor progression in clear cell renal cell carcinoma: prognostic, therapeutic implications and the dual role of neuropilin-1.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer, with...

Lightweight hybrid transformers-based dyslexia detection using cross-modality data.

Early and precise diagnosis of dyslexia is crucial for implementing timely intervention to reduce it...

AI-enhanced telemedicine for personalized antiretroviral therapy in HIV patients with neurological comorbidities: a narrative review.

BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition w...

Unlocking nerve regeneration: electrical stimulation and bioscaffolds to enhance peripheral nerve regeneration.

Peripheral nerve injury (PNI) is a challenging clinical problem resulting in disabling sensorimotor ...

Transforming Chronic Pain Management: Integrating Neuromodulation with Advanced Technologies to Tackle Cognitive Dysfunction - A Narrative Review.

Chronic pain is a complex and multidimensional condition that disrupts both physical function and co...

Expected length of stay in residential aged care facilities in Australia: Assessing the impact of dementia using machine learning.

The neuronal chaperone proSAAS is highly expressed in the retina.

The many layers of the neuroretina contain a complex, interconnected network of specialized neurons ...

Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate prediction model.

Hospital-acquired pneumonia (HAP) is prevalent in the neuro-intensive care unit (NICU), significantl...

QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson's treatment utilizing neighborhood degree-based topological descriptors.

Topological indices are invariant quantitative metrics associated with a molecular graph, which char...

Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet.

Speech enhancement (SE) is critical for improving speech intelligibility and quality in various audi...