Latest AI and machine learning research in neurology for healthcare professionals.
Biological proteins play a crucial role at the intersection of oral health and neuroscience, offering promising opportunities for improved diagnosis, prevention, and treatment. This review highlights the molecular, inflammatory, and biochemical pathways linking oral diseases, particularly periodontal disease and microbial dysbiosis, with neurodegenerative disorders such as Alzheimer's and Parkinso...
Cognitive impairments are common in individuals with temporal lobe epilepsy (TLE). Interactive Kinarm robotic systems provide a novel approach to quantify cognitive impairment. The Object Hit and Avoid (OHA) and Reverse Visually Guided Reaching (RVGR) tasks examine higher order neurocognitive domains (executive function, attention, visuospatial function). This study explores differences in OHA and...
BACKGROUND: Alzheimer's Disease (AD) and FrontoTemporal Dementia (FTD) are dementia conditions that often overlap clinically, leading to misdiagnoses....
With the advancement of the Internet of Things (IoT) and artificial intelligence (AI) technologies, wearable sensors will play a significant role in s...
Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instrume...
Identifying reliable circulating biomarkers is crucial for improving the diagnosis and risk stratification of patients with ischemic stroke. In this s...
INTRODUCTION: Longitudinal trajectories from healthy aging to Mild Cognitive Impairment and Alzheimer's Disease involve complex mechanisms. METHODS: W...
Macrophage polarization between pro-inflammatory M1 and anti-inflammatory M2 phenotypes is pivotal in chronic inflammatory diseases, offering a key th...
Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untreated, frequently results in relapse, accidental o...
Neuromorphic technologies offer a promising pathway to address the escalating energy demands of artificial intelligence. At the system level, neuromor...
Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting in complex, unresolved molecular and cellular dysf...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia. Magnetic Resonance Imaging (MRI) combined with...
Electroencephalogram (EEG)-based emotion recognition holds great potential in affective computing, mental health assessment, and human-computer intera...
PURPOSE: As the Google Artificial Intelligence (AI) Overview function becomes engrained in the search engine, it is important to understand the accura...
BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is characterised by accessory pathways that bypass the normal atrioventricular conduction system. Pre...
OBJECTIVE: Electroencephalogram (EEG) signals capture neuronal activity by measuring electrical activity on the scalp, making them valuable for cognit...
OBJECTIVE: To evaluate the trade-offs among model resolution, anatomical fidelity, computational cost, and localization accuracy in EEG source imaging...
This exploratory, single-group, open-label study investigated 17 patients with Parkinson's disease (PD) using a pre-post design. Motor and non-motor o...