Artificial intelligence (AI)-assisted PET imaging is emerging as a promising tool for the
diagnosis of Parkinson's disease (PD). We aim to systematically review the diagnostic …

Objectives To construct a machine learning model for differentiating Parkinson's disease
(PD) and multiple system atrophy (MSA) by using multimodal PET/MRI radiomics and …

The findings help improve the imaging-based diagnosis of PSP and CBD, allow more
targeted prognostic estimates for patients accounting for phenotype or disease, and will aid …

The purpose of this study was to automatically classify different motor subtypes of
Parkinson's disease (PD) on arterial spin labelling magnetic resonance imaging (ASL-MRI) …

Positron emission tomography/computed tomography (PET/CT) is a molecular imaging
method commonly used to diagnose and differentiate Parkinson's disease (PD). This study …

Alcohol use disorder (AUD) is a disorder of clinical and public health significance requiring
novel and improved therapeutic solutions. Both environmental and genetic factors play a …

Background Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide,
diagnosed based on classic symptoms like motor dysfunction and cognitive impairments …

Nowadays, presynaptic dopaminergic positron emission tomography, which assesses
deficiencies in dopamine synthesis, storage, and transport, is widely utilized for early …

Purpose of review: To discuss how recent work has increased our understanding of
progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). The …

Accurate early diagnosis of Parkinson's disease (PD) is challenging due to symptom overlap
with atypical parkinsonian syndromes, such as multiple system atrophy (MSA), underscoring …