AIMC Topic: Parkinson Disease

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An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson's disease with purine metabolism-related genes.

BMC neurology Apr 16, 2025
BACKGROUND: Parkinson's disease (PD), a prevalent neurodegenerative disorder in the aging population, poses significant challenges in unraveling its pathogenesis and progression. A key area of investigation is the disruption of oncological metabolic ...
Purines Biomarkers Female Computational Biology Parkinson Disease Male Humans Machine Learning
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Voice biomarkers as prognostic indicators for Parkinson's disease using machine learning techniques.

Scientific reports Apr 9, 2025
Many people suffer from Parkinson's disease globally, a complicated neurological condition caused by the deficiency of dopamine, an organic chemical responsible for regulating movement in individuals. Patients with Parkinson face muscle stiffness or ...
Machine Learning Biomarkers Prognosis Humans Male Middle Aged Support Vector Machine Female Aged Voice Parkinson Disease Principal Component Analysis
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Explainable artificial intelligence to diagnose early Parkinson's disease via voice analysis.

Scientific reports Apr 5, 2025
Parkinson's disease (PD) is a neurodegenerative disorder affecting motor control, leading to symptoms such as tremors and stiffness. Early diagnosis is essential for effective treatment, but traditional methods are often time-consuming and expensive....
Artificial Intelligence Early Diagnosis Machine Learning Voice Aged Middle Aged Male Humans Female Parkinson Disease Neural Networks, Computer
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A quantum inspired machine learning approach for multimodal Parkinson's disease screening.

Scientific reports Apr 4, 2025
Parkinson's disease, currently the fastest-growing neurodegenerative disorder globally, has seen a 50% increase in cases within just two years. As disease progression impairs speech, memory, and motor functions over time, early diagnosis is crucial f...
Humans Male Support Vector Machine Parkinson Disease Machine Learning Biomarkers
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The third wheel or the game changer? How AI could team up with neurologists in Parkinson's care.

Parkinsonism & related disorders Mar 28, 2025
INTRODUCTION: Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by diverse motor and non-motor symptoms. AI appears to be the elephant in the neurologist's room, albeit offering transformative potential in early diagnosis, p...
Humans Artificial Intelligence Parkinson Disease Neurologists
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Neuro_DeFused-Net: A novel multi-scale 2DCNN architecture assisted diagnostic model for Parkinson's disease diagnosis using deep feature-level fusion of multi-site multi-modality neuroimaging data.

Computers in biology and medicine Mar 18, 2025
BACKGROUND: Neurological disorders, particularly Parkinson's Disease (PD), are serious and progressive conditions that significantly impact patients' motor functions and overall quality of life. Accurate and timely diagnosis is still crucial, but it ...
Humans Brain Female Neural Networks, Computer Parkinson Disease Middle Aged Aged Deep Learning Neuroimaging Male Magnetic Resonance Imaging
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Voice analysis in Parkinson's disease - a systematic literature review.

Artificial intelligence in medicine Mar 17, 2025
BACKGROUND AND AIM: Parkinson's disease is a neurodegenerative disease. It is often diagnosed at an advanced stage, which can influence the control over the illness. Therefore, the possibility of diagnosing Parkinson's disease at an earlier stage, an...
Voice Machine Learning Prognosis Parkinson Disease Humans
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Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model.

Journal of Parkinson's disease Mar 16, 2025
BackgroundFreezing of gait (FoG) is a complex, frequent, and disabling motor symptom of Parkinson's disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, and continuous monitoring.Objectiv...
Male Middle Aged Parkinson Disease Accelerometry Monitoring, Ambulatory Algorithms Gait Disorders, Neurologic Wearable Electronic Devices Female Humans Aged Machine Learning
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A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Journal of molecular neuroscience : MN Mar 15, 2025
Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evaluations, imaging studies, and biomarkers, focusing on early symptoms like tremors, rigidity, and bradykinesia to facilitate timely treatment. However, d...
Machine Learning Algorithms Electroencephalography Datasets as Topic Convolutional Neural Networks Humans Parkinson Disease
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The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis.

Journal of medical Internet research Mar 14, 2025
BACKGROUND: Parkinson disease (PD) is a common neurodegenerative disease characterized by both motor and nonmotor symptoms. Cognitive impairment often occurs early in the disease and can persist throughout its progression, severely impacting patients...
Parkinson Disease Humans Male Machine Learning Cognitive Dysfunction
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