Latest AI and machine learning research in neurology for healthcare professionals.
Portable, low-field (LF) magnetic resonance imaging (MRI) is emerging as a clinically relevant adjun...
Neurological deterioration is a frequent and clinically significant challenge in patients with acute...
Understanding the trajectory of Huntington's disease (HD) is critical for patient stratification and...
Neuronal functional diversity and pathological vulnerability are governed by multi-layered regulator...
PURPOSE: Accurate identification of neural structures is essential for safe ultrasound-guided region...
Artificial intelligence (AI) is revolutionizing health care, particularly in radiology for which lar...
Epileptic seizures are short episodes of abnormal electrical activity in the brain that can cause co...
High density (HD) electromyography (EMG) signals have been widely used for pattern recognition (PR) ...
Apoptosis and pyroptosis-mediated neuronal death represent major pathogenic mechanisms underlying Al...
Accurate interpretation of electroencephalography (EEG) remains a major challenge in epilepsy diagno...
BACKGROUND: Distinguishing individuals with cognitive decline (CD), including early Alzheimer's dise...
Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. ...
PURPOSE: Repetitive transcranial magnetic stimulation (rTMS) is a promising neuromodulation approach...
EEG signals are widely used in affective computing and brain informatics for emotion recognition due...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment...
BACKGROUND/AIMS: Reticular pseudodrusen (RPD) are increasingly recognised as a distinct phenotype in...
Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records mul...
This study aims to develop and validate an MRI-based image-language collaborative framework for diff...
Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remain...
Acute ischemic and hemorrhagic stroke are among the leading causes of mortality and long-term disabi...
Chronological age is a strong predictor of poor outcomes after ischemic stroke but may not fully cap...