Latest AI and machine learning research in neurology for healthcare professionals.
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A chal...
Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute is...
OBJECTIVE: Spinal chordomas are locally aggressive and frequently recurrent tumors with a poor progn...
BACKGROUND: Ipsilesional motor impairments of the arm are common after stroke. Previous studies have...
The aim this study is to present the results of the minimal invasive neuroendoscopic-assisted syst...
PURPOSE: The number of FDA-cleared artificial intelligence (AI) algorithms for neuroimaging has grow...
BACKGROUND: We aimed to assess the accuracy of artificial intelligence (AI) based real-time anatomy ...
Animal locomotion is the result of complex and multi-layered interactions between the nervous system...
Advances in robotic technology have improved standard techniques in numerous surgical and endovascul...
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...