Neurology

Electroencephalography microstates predict 12-h abstinence-induced craving changes in young smokers.

Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG ...

Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Glioblastoma Patients.

Glioblastoma is the most common and aggressive malignant adult tumor of the central nervous system, ...

Inorganic Biomaterials Inducing Scaffolds Pre-Neuralization for Infarcted Myocardium Repair.

Neural networks are found to play an important role in monitoring and coordinating cardiac physiolog...

Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.

OBJECTIVE: Seizure unpredictability can be debilitating and dangerous for people with epilepsy. Accu...

Deep learning-based classification and segmentation of interictal epileptiform discharges using multichannel electroencephalography.

OBJECTIVE: This study was undertaken to develop a deep learning framework that can classify and segm...

Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting.

MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...

Neuron-astrocyte associative memory.

Astrocytes, the most abundant type of glial cell, play a fundamental role in memory. Despite most hi...

Correlation Between Neurocognitive Outcomes and Neuroaxonal Connectome Alterations After Whole Brain Radiotherapy: A Proof-of-Concept Study.

Connectomics is an evolving branch of neuroscience that determines structural and functional connec...

A Convolutional Mixer-Based Deep Learning Network for Alzheimer's Disease Classification from Structural Magnetic Resonance Imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that severely impairs cognitive function a...

Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury.

BACKGROUND: Substantial gaps exist in the neuroprognostication of cardiac arrest patients who remain...

Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal suba...

Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity-a systematic review.

PURPOSE: This review evaluates advances made in deep learning (DL) applications to automatic spinope...

Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using el...

SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection.

Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligen...

DenoiseMamba: An Innovative Approach for EEG Artifact Removal Leveraging Mamba and CNN.

Electroencephalography (EEG) is a widely used tool for monitoring brain activity, but it is often di...

A Wearable Ultra-Low-Power System for EEG-based Speech-Imagery Interfaces.

Speech imagery-the process of mentally simulating speech without vocalization-is a promising approac...

Improving automatic cerebral 3D-2D CTA-DSA registration.

PURPOSE: Stroke remains a leading cause of morbidity and mortality worldwide, despite advances in tr...

Cortico-cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization.

Cortico-cortical evoked potentials (CCEPs) are an active electrophysiological technique used during ...

From Visualization to Automation: A Narrative Review of Deep Learning's Impact on Ultrasound-based Median Nerve Assessment.

Ultrasound imaging has emerged as a valuable tool in the diagnosis and management of peripheral nerv...

Editorial: Application of machine learning in the diagnosis of dementia, volume II.

Use of artificial intelligence in the management of stroke: scoping review.

INTRODUCTION: Stroke is a condition that is more predominant in developed countries. However, it con...