Latest AI and machine learning research in neurology for healthcare professionals.
Brain imaging genetics aims to uncover the pathological mechanisms and improve the diagnosis of brai...
Acetylcholine (ACh) is a critical neurotransmitter that regulates diverse physiological functions, s...
Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturba...
PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal ima...
PURPOSE: Seizure recurrence, often presenting as clusters, is a major clinical concern linked to inc...
The recurrence of cerebral aneurysms after coil embolization remains a significant concern in clinic...
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder...
The use of artificial intelligence for emotion recognition is the focus of improving human-computer ...
BackgroundHuntington's disease (HD) is a hereditary neurodegenerative disorder, with pathological ch...
Alzheimer's disease (AD) is characterized by progressive brain network disintegration, yet quantifyi...
OBJECTIVE: This study aims to develop an advanced deep learning framework to overcome the challenges...
Schizophrenia is a complex psychiatric disorder marked by cognitive and perceptual disruptions, for ...
BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial...
Although modern imaging methods enable in-vivo examination of connections between distinct brain are...
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by dopaminergic n...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), bu...
The paper presents novel Universum-enhanced classifiers: the Universum Generalized Eigenvalue Proxim...
BACKGROUND: Accurate assessment of 90-day functional outcomes after anterior circulation large vesse...
Pronoun resolution represents a fundamental language comprehension process that varies in cognitive ...
BACKGROUND: Chronic postsurgical pain is a significant medical concern, particularly in cancer patie...
EEG recordings obtained before medication are regarded as valuable biological indicators for depress...