Amyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's
disease (AD) pathogenesis. The overall load and spatial distribution of brain Aβ can be …

Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …

Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …

The Value of Neuroimaging in Dementia Diagnosis : CONTINUUM: Lifelong Learning in
Neurology Account Register Activate Subscription Help Subscribe American Academy of …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

Background Hippocampal sclerosis (HS) is the most common pathological type of temporal
lobe epilepsy (TLE) and one of the important surgical markers. Currently, HS is mainly …

Objective We explore the possibility of using diffusion tensor imaging (DTI) and neurite
orientation dispersion and density imaging (NODDI) to discern microstructural abnormalities …

Objective Functional seizures often are managed incorrectly as a diagnosis of exclusion.
However, a significant minority of patients with functional seizures may have abnormalities …

Objectives Hippocampal sclerosis (HS) is a common cause of temporal lobe epilepsy.
Neuroradiological practice relies on visual assessment, but quantification of HS imaging …

Positron emission tomography (PET) and magnetic resonance imaging (MRI) are advanced
clinical imaging modalities that in combination can provide structural, morphologic …