Latest AI and machine learning research in neurology for healthcare professionals.
Deep learning (DL) for predicting Alzheimer's disease (AD) has provided timely intervention in disea...
BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments again...
BACKGROUND: Early diagnosis and accurate prognosis of cognitive decline in Alzheimer's disease (AD) ...
This work explores use of a few-shot transfer learning method to train and implement a convolutional...
Identifying individual difference factors associated with treatment response and putative mechanisms...
BACKGROUND AND OBJECTIVE: Radiological reports typically summarize the content and interpretation of...
PURPOSE: To determine how automation bias (inclination of humans to overly trust-automated decision-...
BACKGROUND: Migraine is a complex neurological disorder with significant clinical variability, posin...
This research aimed to develop an algorithm for classifying scalogram images generated from electrom...
INTRODUCTION: Artificial intelligence (AI) has gained significant attention in medicine, particularl...
BACKGROUND AND OBJECTIVE: Autoimmune encephalitis (AE) is an immune-mediated disease. Some patients ...
BACKGROUND AND OBJECTIVE: The worldwide estimates reveal two-fold increase in incidence of Parkinson...
Alzheimer's disease (AD) is a degenerative neurological condition characterized by a progressive dec...
Personalized brain implants have the potential to revolutionize the treatment of neurological disord...
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...
Epilepsy is a globally distributed chronic neurological disorder that may pose a threat to life with...
This paper presents a digital edge neuromorphic spiking neural network (SNN) processor chip for a va...
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look simila...
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding s...
The limited availability of diverse, high-quality datasets is a significant challenge in applying de...
High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for...