Impact of Stigma on Patients Diagnosed with Parkinson’s Disease in Buenos Aires (Argentina) : A Descriptive Study of Psychological, Occupational, and Social Dimensions
Objective: To assess the characteristics and impact of stigma in Parkinson’s disease (PD)patients and explore differences by age, gender, education level, and disease duration. Background: Stigma…Clustering and Identification of Parkinson’s Disease Severity Subtypes Using Multimodal Data and Machine Learning Approaches
Objective: This study aimed to classify Parkinson’s disease (PD) severity subtypes by integrating objective multimodal data with machine learning (ML) techniques. We applied unsupervised clustering…Automatic Intelligibility Rating in Parkinson’s Disease: A Multilingual Approach
Objective: To investigate the validity and robustness of an automatically generated intelligibility score in Parkinson’s disease (PD) across multiple languages. Background: 90% of people with…Dietary and Environmental Risk factors of Parkinson’s Disease: An integrated study combining Network Pharmacology and Molecular Docking Analyses
Objective: This large-scale case-control study using network pharmacology and molecular docking, aimed to identify dietary and environmental risk factors of Parkinson’s disease (PD). Background: PD…Characterization of Autonomic Dysfunction Profiles in Early Parkinson’s disease
Objective: To characterize autonomic dysfunction in early Parkinson’s disease (PD) in order to improve early PD diagnosis. Background: Parkinson’s disease (PD) is a progressive neurodegenerative…AI-Based Detection of Tremor and Dystonia Using Deep Learning Models: A Novel Approach
Objective: Primary Objective:To develop and evaluate a machine learning-based model for the accurate classification of tremor and dystonia using video data.Secondary Objectives:To address the shortage…Dopaminometer: A Smartphone-Based Application to Predict Striatal Dopaminergic Deficit in Prodromal and Manifest Parkinson’s disease
Objective: To assess the feasibility of a smartphone-based application (“Dopaminometer”) for predicting abnormal vs. normal dopamine transporter (DaT) scans and dopaminergic ratios in individuals with…Using large language models to assess dynamics in semantic memory search of patients with Parkinson’s disease
Objective: This study aimed to investigate dynamics in the semantic memory searching process of Parkinson’s disease patients. Background: Linguistic studies in Parkinson’s disease highlighted the…Affordable Aspect of Artificial Intelligence Applied to Tremor’s Analysis Features Extraction Approach based on Archimede’s Spiral Processing
Objective: To use automated image analysis framework for tremor feature extraction from Archimedes spirals and analyse the findings based of the tremor’s type. Background: Defining…AI-Powered Seamless Webcam Assessment for Parkinson’s Disease
Objective: We aimed to demonstrate that an AI-powered virtual exam using a standard webcam can assess PD manifestations, naturally mirroring a neurologist’s evaluation. Background: Parkinson’s…
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