Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Adverse events of the fractured vertebra (AEFV) post-percutaneous kyphoplasty (PKP) can ...
. The clinical diagnosis of Parkinson's disease (PD) relying on medical history, clinical symptoms, ...
Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from ...
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate r...
BACKGROUND: The identification of concussion risk factors, such as visible signs and mechanisms of i...
OBJECTIVE: Predicting an individual's response to antidepressant medication remains one of the most ...
BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...
The EU AI Act, the first comprehensive regulation of AI, came into effect in August. Here, we provid...
. This study evaluated the predictive performance of a deep learning approach to predict stroke volu...
The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-compute...
The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mit...
AIM: To investigate oscillatory networks in bipolar depression, effects of a home-based tDCS treatme...
OBJECTIVES: Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects o...
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are gett...
PURPOSE: There is limited understanding of the link between exposure to heavy metals and ischemic st...
Electroencephalography (EEG) artifacts are very common in clinical diagnosis and can heavily impact ...
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decod...
This paper introduces a lightweight bilateral underactuated upper limb exoskeleton (UULE) designed t...
Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitati...