Latest AI and machine learning research in neurology for healthcare professionals.
Deficits in intentional control over episodic memory constitute a risk factor for multiple psychiatr...
This paper presents a bibliometric analysis of the fast-growing area of deep learning in neuroimagin...
Accurate identification of EEG electrodes associated with epilepsy is essential for developing real-...
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental...
OBJECTIVE: Lumbar spinal stenosis (LSS) is a degenerative spinal condition characterized by the narr...
BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled ...
Bridging integrator 1 (BIN1) is one of the strongest genetic risk factors for Alzheimer's disease (A...
Acute ischemic stroke (AIS) presents significant challenges in biomarker discovery and detection. Th...
Syntaxin1A (STX1A) is a presynaptic membrane protein that is abundantly expressed in the central ner...
Distinguishing scans without evidence of dopaminergic deficit (SWEDD) from Parkinson's disease (PD) ...
PURPOSE OF REVIEW: Central nervous system (CNS) infections remain a major cause of morbidity and mor...
BACKGROUND: Cerebral small vessel disease (CSVD) is a leading cause of stroke and dementia and is as...
Qualitative research offers important insight into lived experiences of individuals with traumatic b...
BACKGROUND: Parkinson's Disease (PD) is a neuro-degenerative condition that progressively impairs mo...
BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the a...
BACKGROUND AND PURPOSE: Predicting the final location and volume of lesions in acute ischemic stroke...
Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain on...
EEG-based ADHD diagnosis models suffer from two persistent issues: data leakage and the lack of phys...
As the use of artificial intelligence (AI) in healthcare becomes more pervasive, its application in ...
The purpose of this study is to find the numerical solutions of the delay Parkinson's disease model ...
Motor decline is a hallmark of Parkinson's disease (PD) and biological aging, yet the specific relat...