Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease. An objecti...
INTRODUCTION: Multimorbidity, defined as the coexistence of two or more health conditions, is common...
Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) are debilitating neurodegenera...
Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million since 2015, ...
OBJECTIVE: Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual nerve block anesthe...
INTRODUCTION: Advances in machine learning (ML) methodologies, combined with multidisciplinary colla...
Topological data analysis is becoming more and more popular in recent years. It has found various ap...
INTRODUCTION: The main objective of this study is to evaluate working memory and determine EEG bioma...
OBJECTIVE: Post-traumatic seizure (PTS) is a well-known complication of traumatic brain injury (TBI)...
Triacylglycerols and wax esters are two lipid classes that have been linked to diseases, including a...
OBJECTIVE: This scoping review provides an overview of artificial intelligence (AI), including machi...
BACKGROUND: The original version of the Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) significant...
Neural decoding is a powerful method to analyze neural activity. However, the code needed to run a d...
Visual hallucinations (VHs) are perceptions of objects or events in the absence of the sensory stimu...
The importance of being physically active and avoiding staying in bed has been recognized in stroke...
This article aims to improve and diversify signal processing techniques to execute a brain-computer ...
BACKGROUND: Post-stroke clinical changes not only affect extremities and trunk muscles but also the ...
In the era of information, characterized by an exponential growth in data volume and an escalating l...
BACKGROUND: Robotic pancreaticoduodenectomy (RPD) is technically demanding, and 20-50 cases are requ...
Although the role of plain radiographs in diagnosing lumbar spinal stenosis (LSS) has declined in im...
Sleep spindles (SSs) and K-complexes (KCs) are brain patterns involved in cognitive functions that a...