Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND CONTEXT: A deep learning (DL) model for degenerative cervical spondylosis on MRI could en...
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...
Structural and functional brain networks are generated from two scan sequences of magnetic resonance...
The integration of different imaging modalities, such as structural, diffusion tensor, and functiona...
BACKGROUND: Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. ...
The heterogeneity of Parkinson's disease (PD) presents considerable challenges for accurate diagnosi...
BACKGROUND: Chemotherapy-induced peripheral neuropathy (CIPN) is a serious therapy-limiting side eff...
OBJECTIVE: This study aimed to investigate the neurophysiological effects of obstructive sleep apnea...
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with ...
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness,...
Simultaneously recording network activity and ultrastructural changes of the synapse is essential fo...
Connectomics is a neuroscience paradigm focused on noninvasively mapping highly intricate and organi...
INTRODUCTION: There is currently a lack of easy-to-use and effective robotic devices for upper-limb ...
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell dea...
With over 55 million people globally affected by dementia and nearly 10 million new cases reported a...
Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artif...
Access to large amounts of data is essential for successful machine learning research. However, ther...
With the development of digital medical technology, ubiquitous smartphones are emerging as valuable ...
Decoding motor imagery (MI) using deep learning in cortical level has potential in brain computer in...
Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in ...
Most operant conditioning circuits predominantly focus on simple feedback process, few studies consi...