Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assess...
Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including ap...
Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG ...
Glioblastoma is the most common and aggressive malignant adult tumor of the central nervous system, ...
Neural networks are found to play an important role in monitoring and coordinating cardiac physiolog...
OBJECTIVE: Seizure unpredictability can be debilitating and dangerous for people with epilepsy. Accu...
OBJECTIVE: This study was undertaken to develop a deep learning framework that can classify and segm...
MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...
Astrocytes, the most abundant type of glial cell, play a fundamental role in memory. Despite most hi...
Connectomics is an evolving branch of neuroscience that determines structural and functional connec...
Alzheimer's disease (AD) is a neurodegenerative disorder that severely impairs cognitive function a...
BACKGROUND: Substantial gaps exist in the neuroprognostication of cardiac arrest patients who remain...
BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal suba...
PURPOSE: This review evaluates advances made in deep learning (DL) applications to automatic spinope...
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using el...
Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligen...
Electroencephalography (EEG) is a widely used tool for monitoring brain activity, but it is often di...
Speech imagery-the process of mentally simulating speech without vocalization-is a promising approac...
PURPOSE: Stroke remains a leading cause of morbidity and mortality worldwide, despite advances in tr...
Cortico-cortical evoked potentials (CCEPs) are an active electrophysiological technique used during ...
Ultrasound imaging has emerged as a valuable tool in the diagnosis and management of peripheral nerv...