Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons, resulting in motor symptoms. Ongoing research shows promise for long-term solutions.
Ischemic stroke (IS) is a complex neurological disease that can lead to severe disability or even death. Understanding the molecular mechanisms involved in the occurrence and progression of IS is of great significance for developing effective treatment strategies. In this context, the role of neddylation refers to the potential impact of neddylation on various cellular processes, which may contrib...
IMPORTANCE: Predictive models using machine learning techniques have potential to improve early detection and management of Alzheimer disease (AD). Ho...
Robots are becoming increasingly sophisticated in the execution of complex tasks. However, an area that requires development is the ability to act in ...
INTRODUCTION: Functional neuroimaging has developed a fundamental ground for understanding the physical basis of the brain. Recent studies have extrac...
INTRODUCTION: Diabetic neuropathy is a well-known complication of diabetes. Recently, hyperglycemia-induced toxicity has been confirmed to participate...
INTRODUCTION: This research aims to investigate the protective action of menthol dissolved in dimethyl sulfoxide (DMSO) on experimental epileptiform a...
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain bar...
PURPOSE: To determine baseline factors and surgical procedures associated with clinically meaningful improvement or deterioration of lower urinary tra...
In the present study, we present comparative outcomes of radical prostatectomy after whole-gland therapy (wg-SRARP) and focal gland therapy (f-SRARP)....
OBJECTIVE: To compare a three-dimensional (3D) artificial intelligence (AI)- driven model with panoramic radiography (PANO) and cone-beam computed tom...
Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with sev...
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care f...
With the introduction of neuron coverage as a testing criterion for deep neural networks (DNNs), covering more neurons to detect more internal logic o...
In this study, we present a flexible wearable supernumerary robotic limb that helps chronic stroke patients with finger rehabilitation and grasping mo...
Continuous monitoring of mean intracranial pressure (ICP) has been an essential part of neurocritical care for more than half a century. Cerebrospinal...
This paper proposes a portable wireless transmission system for the multi-channel acquisition of surface electromyography (EMG) signals. Because EMG s...
OBJECTIVE: To examine the effectiveness of robot-assisted therapy (RAT) combined with conventional therapy (CT) compared to CT alone in accelerating u...
flowers, associated with diverse biological effects, could be utilized as functional food ingredients to play a crucial role in human health. In this...
BACKGROUND: ScanNavAnatomy Peripheral Nerve Block (ScanNavâ„¢) is an artificial intelligence (AI)-based device that produces a colour overlay on real-ti...