AIMC Topic: Parkinson Disease

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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...
Support Vector Machine Parkinson Disease Humans Biomarkers Male Machine Learning
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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...
Artificial Intelligence Parkinson Disease Humans 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 ...
Neuroimaging Male Middle Aged Magnetic Resonance Imaging Parkinson Disease Deep Learning Brain Female Aged Humans Neural Networks, Computer
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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...
Humans Machine Learning Parkinson Disease Voice Prognosis
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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...
Accelerometry Algorithms Gait Disorders, Neurologic Female Aged Wearable Electronic Devices Parkinson Disease Humans Male Monitoring, Ambulatory Middle 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...
Convolutional Neural Networks Parkinson Disease Electroencephalography Humans Datasets as Topic Machine Learning Algorithms
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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 Machine Learning Male Humans Cognitive Dysfunction
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Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks.

Scientific reports Mar 13, 2025
Parkinson's disease is a neurodegenerative disorder that is associated with aging, leading to the progressive deterioration of certain regions of the brain. Accurate and timely diagnosis plays a crucial role in facilitating optimal therapy and improv...
Humans Neural Networks, Computer Female Autoencoder Middle Aged Deep Learning Parkinson Disease Aged Male
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The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 7, 2025
The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if tra...
Blinking Male Deep Learning Sleep Deprivation Alzheimer Disease Electroencephalography Imagination Algorithms Parkinson Disease Artifacts Signal Processing, Computer-Assisted Female Humans Adult Neural Networks, Computer
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Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit.

CPT: pharmacometrics & systems pharmacology Mar 5, 2025
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active transporter (DaT) scans without evidence of dopaminergic deficits (SWEDD), most of which will never develop PD. Leveraging Movement Disorders Society U...
Humans Neural Networks, Computer Female Parkinson Disease Dopamine Dopamine Plasma Membrane Transport Proteins Male Middle Aged Aged
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