Latest AI and machine learning research in neurology for healthcare professionals.
Most of the intracranial aneurysms (ICA) occur on a specific portion of the cerebral vascular tree n...
OBJECTIVE: This study aimed to explore sensitive detection methods for pathological high-frequency o...
Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has...
This study explores the utility of the large language models (LLMs), specifically ChatGPT and Google...
Continuous decoding of hand kinematics has been recently explored for the intuitive control of elect...
Classified as biomedical signal processing, cerebral signal processing plays a key role in human-com...
BACKGROUND: Paresis of the upper limb (UL) is the most frequent impairment after a stroke. Hybrid ne...
The inhibitory neurons in the brain play an essential role in neural network firing patterns by rele...
Deep neural networks have recently been successfully extended to EEG-based driving fatigue detection...
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the...
Dendrite morphological neurons (DMNs) are neural models for pattern classification, where dendrites ...
This study focused on the development and initial psychometric evaluation of a set of online, webcam...
Parkinson's disease which is the second most prevalent neurodegenerative disorder in the United Stat...
Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality asses...
BACKGROUND: Social robots, as a form of digital health technologies, are used to support emotional, ...
The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the str...
Longevity with localized prostate cancer (PCa) has been achieved, and the contribution of robot-assi...
Automated demarcation of stoke lesions from monospectral magnetic resonance imaging scans is extreme...
Neurodegenerative diseases, such as Alzheimer's and Parkinson's, are multi-factor induced neurologic...
INTRODUCTION: Polygenic risk scores (PRSs) have great clinical potential for detecting late-onset di...
Little is known about electrocardiogram (ECG) markers of Parkinson's disease (PD) during the prodrom...