Latest AI and machine learning research in neurology for healthcare professionals.
Integrating 3D magnetic resonance imaging (MRI) with machine learning has shown promising results in...
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (...
Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognit...
Diagnosing Alzheimer's disease (AD) through pathological markers is typically costly and invasive. T...
Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly app...
BACKGROUND: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocogniti...
BACKGROUND AND OBJECTIVES: Patients with synucleinopathies such as multiple system atrophy (MSA) and...
Intracranial atherosclerotic stenosis (ICAS) and intracranial aneurysms are prevalent conditions in ...
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute...
Developing an electroencephalogram (EEG)-based motor imagery and motor execution (MI/ME) decoding sy...
BACKGROUND: Alzheimer's disease (AD) is a common neurodegenerative disorder worldwide and the using ...
INTRODUCTION: Delayed neurological sequelae is a common complication following carbon monoxide poiso...
Spiking neural networks seek to emulate biological computation through interconnected artificial neu...
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by moto...
The conventional statistical approach for analyzing resting state functional MRI (rs-fMRI) data stru...
BACKGROUND: Programmed cell death plays an important role in neuronal injury and death after ischemi...
BACKGROUND: Alzheimer's disease (AD), the most prevalent form of dementia, remains enigmatic in its ...
Enhancing motor disability assessment and its imagery classification is a significant concern in con...
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder. There are no drugs and methods...
In neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, ...
INTRODUCTION: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adul...