Latest AI and machine learning research in neurology for healthcare professionals.
The development of advanced prosthetic devices that can be seamlessly used during an individual's da...
BACKGROUND: The most common form of dementia, Alzheimer's Disease (AD), is challenging for both thos...
Neurodegenerative disorders exhibit considerable clinical heterogeneity and are frequently misdiagno...
INTRODUCTION: Social robots including telepresence robots have emerged as potential support in demen...
Neurostimulation and neural recording are crucial to develop neuroprostheses that can restore functi...
The poor generalization performance and heavy training burden of the gesture classification model co...
Human-machine interaction (HMI) technology has undergone significant advancements in recent years, e...
OBJECTIVE: To apply a machine learning analysis to clinical and presynaptic dopaminergic imaging dat...
Noninvasive differential diagnosis of brain tumors is currently based on the assessment of magnetic ...
BACKGROUND: Identifying individuals with mild cognitive impairment (MCI) at risk of progressing to A...
This study aimed to investigate the minimum number of operations required for itinerant nurses in th...
OBJECTIVE: Assess the capabilities of ChatGPT-3.5 and 4 to provide accurate diagnoses, treatment opt...
INTRODUCTION: Due to activity limitations and physical environmental barriers, low remunerative empl...
Steady-state visual evoked potential (SSVEP) is a key technique of electroencephalography (EEG)-base...
Alzheimer's disease (AD) is a pressing concern in neurodegenerative research. To address the challen...
A dendritic neuron model (DNM) is a deep neural network model with a unique dendritic tree structure...
Machine learning (ML) is widely used in classification tasks aimed at detecting various cognitive st...
Benefiting from the brain-inspired event-driven feature and asynchronous sparse coding approach, spi...
Neuromorphic event-based cameras communicate transients in luminance instead of frames, providing vi...
The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Ev...
AIM: To investigate wearable sensors for measuring functional hand use in children with unilateral c...