Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: CT angiography (CTA) is a key investigation in cerebrovascular disease. However, CTA is ...
Sleep-wake disturbances commonly occur in Alzheimer's disease (AD). However, the precise mechanisms ...
BACKGROUND: Stroke is a leading cause of long-term disability worldwide, yet existing clinical decis...
Machine learning (ML) and deep learning (DL) models are increasingly being explored for individu...
BACKGROUND: Early diagnosis of neurological dysfunctions, particularly epilepsy, is vital for early ...
BACKGROUND: Enlarged perivascular spaces (ePVS) are a marker of cerebral small vessel disease, poten...
BACKGROUND: Outcome prediction models for patients with ischemic stroke after endovascular thrombect...
BackgroundAccurate, non-invasive prediction of cerebral amyloid-β (Aβ) pathology in mild cognitive i...
Artifacts are noisy signals that commonly contaminate electroencephalographic (EEG) recordings, mixi...
Accurate classification of motor imagery (MI)-based electroencephalogram (EEG) signals is often chal...
Predicting the risk of Alzheimer's disease (AD) is fundamental for early-stage intervention. Neverth...
Tick-borne encephalitis (TBE) remains a severe public health threat in affected areas with shifting ...
Traumatic brain injury (TBI) is a stage-dependent disorder that evolves from acute neuroinflammation...
INTRODUCTION: Although deep learning methods for EEG analysis are rapidly advancing, architectures d...
RATIONALE AND OBJECTIVES: To develop and validate the performance and prognostic value of a deep-lea...
Early diagnosis of Parkinson's disease (PD) is challenging due to the difficulty in identification o...
Manual annotation of spike-wave discharges (SWDs), the electrographic hallmark of absence seizures, ...
Examining sleep patterns in relation to chronological ageing and dementia can provide insights for r...
Histological analysis is essential for understanding disease pathology and the microenvironment, par...
OBJECTIVE: To investigate risk factors for urinary incontinence (UI) after robot-assisted laparoscop...
Multiple sclerosis has undergone a therapeutic revolution over the past three decades. Randomized cl...