Latest AI and machine learning research in neurology for healthcare professionals.
Cerebral blood flow (CBF) is under homeostatic control via cerebral autoregulation, maintaining a co...
OBJECTIVE: Alzheimer's disease (AD) is strongly associated with aging, yet the interactions remain u...
OBJECTIVES: White matter hyperintensities (WMH) represent neuroimaging markers of cerebral small ves...
Alzheimer's disease (AD) involves progressive cholinergic degeneration, with acetylcholinesterase (A...
BACKGROUND: Stroke poses a significant health burden among hypertensive patients, where traditional ...
BACKGROUND AND OBJECTIVES: Timely treatment of pediatric obstructive sleep apnea (OSA) can prevent o...
Automatic sleep stage classification is essential for enabling non-invasive, at-home monitoring. How...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...
Alzheimer's disease (AD) is a significant neurological condition that is marked by the gradual decli...
OBJECTIVE: Artificial intelligence (AI) methods have been widely applied in gait analysis, yet quant...
OBJECTIVE: Low-grade epilepsy-associated neuroepithelial tumors (LEATs) often cause drug-resistant e...
BACKGROUND: There is little research about the questions asked by people with epilepsy, and how thes...
PURPOSES: To evaluate the diagnostic confidence in cerebral aneurysm embolization coil follow-up usi...
McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, and Jordan, MJ. The influence of spo...
BACKGROUND AND OBJECTIVES: Use of companion robot pets to reduce social isolation and loneliness in ...
OBJECTIVE: Improper spinal posture during activities of daily living such as seated posture, upright...
Given the well-established structural and functional changes in the aging brain, it is widely assume...
Stroke remains a leading cause of mortality and long-term disability worldwide, where rapid diagnosi...
Proteins and enzymes are fundamental elements for the correct regulation of cell metabolism and thei...
OBJECTIVE: To identify associated and protective factors of rapid spinal radiographic progression in...
OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...