Latest AI and machine learning research in neurology for healthcare professionals.
Functional magnetic resonance imaging (fMRI) studies on migraine with aura are challenging due to th...
A late post-traumatic seizure (LPTS), a consequence of traumatic brain injury (TBI), can potentially...
BACKGROUND: In the pursuit of finer Brain-Computer Interface commands, research focus has shifted to...
While disgust originates in the hard-wired mammalian distaste response, the conscious experience of ...
Bradykinesia, a core symptom of motor disorders in Parkinson's disease (PD), is a major criterion fo...
Socially assistive robots (SARs) have been suggested as a platform for post-stroke training. It is n...
Although trust plays a vital role in human-robot interaction, there is currently a dearth of literat...
Imagined speech recognition has developed as a significant topic of research in the field of brain-c...
OBJECTIVE: FDG PET imaging plays a crucial role in the evaluation of demented patients by assessing ...
CASE: A 47-year-old orthopaedic surgeon presented with acute volar left wrist pain. He performed ove...
Accurate seizure and epilepsy diagnosis remains a challenging task due to the complexity and variabi...
Epilepsy affects over 50 million people globally. Electroencephalography is critical for epilepsy di...
Deep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients...
Machine learning methods hold the promise to reduce the costs and the failure rates of conventional ...
Design of hardware based on biological principles of neuronal computation and plasticity in the brai...
Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connect...
First-principles-based modelings have been extremely successful in providing crucial insights and pr...
. The instability of the EEG acquisition devices may lead to information loss in the channels or fre...
Segmentation of cerebral vasculature on MR vascular images is of great significance for clinical app...
PURPOSE: Patients with spinal cord injuries (SCIs) experience variable urinary symptoms and quality ...
OBJECTIVES: We set out to develop a machine learning model capable of distinguishing patients presen...