Latest AI and machine learning research in parkinson's disease for healthcare professionals.
BACKGROUND: Tardive dyskinesia (TD) is a common, often underrecognized movement disorder resulting from long-term antipsychotic use, yet its detection in routine mental health care remains inconsistent despite the availability of structured rating scales. OBJECTIVE: This study evaluated the performance of an artificial intelligence-powered, video-based model for detecting abnormal movements associ...
OBJECTIVES: To develop and validate a deep learning-based model capable of generating dopamine transporter (DAT) images from early-phase [18F]-FP-CIT positron emission tomography (PET) imaging. MATERIALS AND METHODS: Conditional generative adversarial network was trained using 477 dual-phase [¹⁸F]-FP-CIT PET scans acquired with a conventional PET system. The model generated delayed-phase images fr...
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characterised by progressive loss of dopaminergic neurons in...
Accurate identification of neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Autism Spectrum Disorder (ASD) is ch...
Neurological disorders, such as Parkinson's disease and stroke, often lead to neurogenic dysphagia, a swallowing disorder that compromises nutrition a...
Robotic surgery has evolved from a technological adjunct into a major platform for extending the reach of minimally invasive surgery (MIS). In contras...
The early diagnosis of Parkinson's disease (PD) using SPECT imaging continues to be challenging due to the subtle dopaminergic deficits present in the...
In the era of artificial intelligence, an increasing number of robots are entering the workplace as active contributors to organizational tasks. While...
BACKGROUND: Parkinson's disease (PD) exhibits substantial heterogeneity in clinical presentation and longitudinal progression, complicating prognosis,...
PURPOSE: We aimed to develop a universal, fully automated segmentation algorithm that allows robust analysis of oral diadochokinesis across various ne...
Parkinson's Disease (PD) is characterized by motor symptoms linked to dysregulated neural activity within basal ganglia-thalamocortical (BGTC) circuit...
Accurate disease prediction using clinical datasets is essential for improving early diagnosis and clinical decision-support systems; however, many ex...
BACKGROUND: Management of contacts to medical communication centers relies heavily on clinical judgment, contextual understanding, and communication s...
BACKGROUND: Timely detection of Parkinson's disease (PD) remains limited by reliance on in-person neurological evaluations that are often costly and g...
INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China, and emerged as a critical public health challeng...
Parkinson's Disease (PD) is a progressive neurodegenerative disorder that causes motor and cognitive impairments, affecting approximately 1% of indivi...
BACKGROUND: Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging fiel...
INTRODUCTION: Accurate clinical diagnosis of neurodegenerative diseases remains challenging, particularly when individuals have mixed pathologies. We ...
INTRODUCTION: Subtle PD motor abnormalities can be underappreciated in examination but are overtly present in handwriting. Spiral, meander, and wave d...
Parkinson's disease (PD) is marked by progressive neurodegeneration in the substantia nigra (SN). This study evaluated deep-learning saturation-transf...