Latest AI and machine learning research in parkinson's disease for healthcare professionals.
BACKGROUND: Iron accumulation in the substantia nigra (SN) is a hallmark of Parkinson's disease (PD). Quantitative susceptibility mapping (QSM) including source separation can generate maps of total susceptibility χ, paramagnetic or positive susceptibility [Formula: see text] likely dominated by tissue iron, and diamagnetic or negative susceptibility [Formula: see text] reflecting myelin and other...
Parkinson's disease (PD) is a progressive neurodegenerative disorder. Its motor symptoms include bradykinesia, rigidity, and postural instability, while gait abnormalities serve as critical early biomarkers. Traditional diagnostic methods normally rely on subjective clinical assessments, highlighting the need for objective, quantifiable tools. Plantar pressure measurement systems provide high-reso...
Precise intraoperative localisation of subcortical brain structures remains a critical challenge in deep brain stimulation, yet openly available micro...
Parkinson's disease (PD) presents significant challenges due to its intricate symptoms and often delayed diagnosis. Therefore, early detection is vita...
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT) is increasingly used for medical education and healthcare counseling. OBJECTIVE: To eval...
INTRODUCTION: Voice analysis is a promising method for diagnosing Parkinson's disease (PD); however, two major obstacles stand in the way of its clini...
Whether individual-level cognitive trajectories in Parkinson's disease are predictable remains unresolved. Here, we provide convergent evidence that m...
Artificial Intelligence (AI) has become integral to the research of neurological diseases due to the rapid expansion of neuroimaging, clinical, physio...
OBJECTIVE: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by tremor, rigidity and bradykinesia. Although central n...
The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in odor perception and exhibits remarkable structural...
Video annotation is the gold standard for assessing Freezing of Gait (FOG) in Parkinsonian disorders, but it is time-consuming. Deep learning (DL)-bas...
Deep learning methods have significantly advanced the analysis of brain imaging data for various downstream tasks such as disease diagnosis and age pr...
Metallic elastic elements serve as critical structural components in advanced electro mechanical assemblies, where cyclic loading induces progressive ...
Microglial cells are key players in maintaining brain homeostasis and responding to pathological conditions. Their multifaceted roles in health and di...
Perfluorooctanoic acid (PFOA) is a common polyfluoroalkyl substance (PFAS) with possible neurotoxic effects, but its role in Parkinson's disease (PD) ...
PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Park...
The European research landscape for developing new diagnostic, preventive, and therapeutic interventions is fraught with challenges. Scarcity of quali...
Telesurgery integrates artificial intelligence (AI), robotic systems, sensing technologies, and wireless communication to enable remote and computer-a...
Magnetic resonance imaging (MRI) is widely regarded as the most reliable non-invasive imaging modality for detecting neurological disorders. However, ...
Many genetic loci were identified as associated with neuropsychiatric disorders and neurodegenerative disorders by Genome-wide association studies (GW...