Latest AI and machine learning research in neurology for healthcare professionals.
Deep learning (DL)-based methods have been successfully employed as asynchronous classification algo...
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut of...
Retinal optical coherence tomography (OCT) biomarkers have the potential to serve as early, noninvas...
PURPOSE: The conclusion section of a radiology report is crucial for summarizing the primary radiolo...
Alzheimer's disease is one of the most important health-care challenges in the world. For decades, n...
Cerebral aneurysms and brain tumors are leading life-threatening diseases worldwide. By deliberately...
Osteoporosis and loss of muscle mass are secondary issues with spinal cord injury. Robotic gait trai...
Challenges arise in accessing archived signal outputs due to proprietary software limitations. There...
In recent years, fatigue driving has become the main cause of traffic accidents, leading to increase...
The early detection of mild cognitive impairment (MCI) is crucial to preventing the progression of d...
Early diagnosis of dementia diseases, such as Alzheimer's disease, is difficult because of the time ...
In the context of dementia care, Artificial Intelligence (AI) powered clinical decision support syst...
METHODS: 18F-FDG brain PET and clinical score were collected in 85 patients with dementia and 125 he...
Pain perception nociceptors (PPN), an important type of sensory neuron, are capable of sending out a...
Neuroimaging data repositories are data-rich resources comprising brain imaging with clinical and bi...
OBJECTIVE: Interictal biomarkers of the epileptogenic zone (EZ) and their use in machine learning mo...
Electroencephalogram (EEG) has been widely utilized as a valuable assessment tool for diagnosing epi...
Neurological conditions are the leading cause of disability and mortality combined, demanding innova...
OBJECTIVES: To evaluate the effectiveness of robot-assisted therapy (RAT) followed by activities of ...
BACKGROUND: Stereoelectroencephalography (SEEG) is an effective presurgical invasive evaluation for ...
Alzheimer's disease (AD) is a neurodegenerative condition that primarily affects brain tissue. Becau...