Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Current methods of intracranial aneurysm rupture risk assessment in the clinical setting...
AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infa...
INTRODUCTION: Blood-based biomarkers that can aid diagnosis of Parkinson's Disease (PD) dementia (PD...
OBJECTIVES: To compare machine learning models using different combinations of clinical and imaging ...
Schizophrenia is one of the serious disorders and, if left untreated, can result in a range of probl...
Online, text-based meta-analysis tools for large databases represent a new digital advance for medic...
Alzheimer's disease (AD) is a degenerative neurological disease that progresses over time, making ea...
Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mappin...
Mild traumatic brain injury typically produces no abnormalities on neuroimaging yet elicits symptoms...
INTRODUCTION: This study integrated structural magnetic resonance imaging (sMRI) of the brain with c...
The timely detection of impending seizures can offer physicians a critical window of opportunity to ...
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder, is marked by dopamin...
BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosi...
BACKGROUND AND OBJECTIVES: Deep brain stimulation (DBS) is an effective treatment of essential tremo...
Digital health solutions are being increasingly used to support care delivery across various medical...
Clinically, epilepsy manifests as a chronic condition marked by unprovoked, recurrent seizures, plag...
BACKGROUND: Integrating neuroimaging genetics data may enhance the diagnosis and understanding of ad...
McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The inf...
OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impa...
Developmental dyslexia is a heterogeneous disorder classically divided into distinct subtypes. Elena...
BACKGROUND: Computed tomography perfusion (CTP) is widely used to treat acute strokes. The affected ...