AIMC Topic: Parkinson Disease

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Deep learning models for improving Parkinson's disease management regarding disease stage, motor disability and quality of life.

Computers in biology and medicine Mar 3, 2025
BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) focuses mainly on observational methods and, clinical scales, resulting in a subjective evaluation. Inertial sensors combined with artificial intelligenc...
Middle Aged Quality of Life Deep Learning Female Aged Male Parkinson Disease Humans Neural Networks, Computer
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Deep Learning-Based Diagnostic Model for Parkinson's Disease Using Handwritten Spiral and Wave Images.

Current medical science Mar 3, 2025
OBJECTIVE: To develop and validate a deep neural network (DNN) model for diagnosing Parkinson's Disease (PD) using handwritten spiral and wave images, and to compare its performance with various machine learning (ML) and deep learning (DL) models.
Female Sensitivity and Specificity Male Deep Learning Humans Neural Networks, Computer Handwriting Image Processing, Computer-Assisted Support Vector Machine Parkinson Disease
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Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.

Scientific reports Mar 1, 2025
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the conve...
Parkinson Disease Machine Learning Sound Spectrography Female Voice Aged Deep Learning Convolutional Neural Networks Male Humans Middle Aged Neural Networks, Computer
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Comprehensive clinical scale-based machine learning model for predicting subthalamic nucleus deep brain stimulation outcomes in Parkinson's disease.

Neurosurgical review Feb 25, 2025
Parkinson's Disease (PD) is a growing burden with varied clinical manifestations and responses to Subthalamic Nucleus Deep Brain Stimulation (STN-DBS). At present, there is no effective and simple machine learning model based on comprehensive clinica...
Middle Aged Treatment Outcome Parkinson Disease Female Aged Male Machine Learning Deep Brain Stimulation Retrospective Studies Subthalamic Nucleus Humans
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Parkinson's disease tremor prediction towards real-time suppression: A self-attention deep temporal convolutional network approach.

Computers in biology and medicine Feb 19, 2025
Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technologies; however, this is challenging due to the nonlinear, stochastic, and nonstationary characteristics of PDT, which substantially vary among patients...
Parkinson Disease Signal Processing, Computer-Assisted Tremor Neural Networks, Computer Female Male Humans Deep Learning
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IRMA: Machine learning-based harmonization of F-FDG PET brain scans in multi-center studies.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
PURPOSE: Center-specific effects in PET brain scans arise due to differences in technical and procedural aspects. This restricts the merging of data between centers and introduces source-specific bias.
Humans Machine Learning Brain Female Parkinson Disease Alzheimer Disease Positron-Emission Tomography Fluorodeoxyglucose F18 Aged Male Image Processing, Computer-Assisted
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Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Nuclear medicine communications Feb 18, 2025
OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effective in assessing dopaminergic neuron degeneration in the striatum. In assessing the neuron degeneration, visual and semiquantitative methods are used t...
Dopamine Plasma Membrane Transport Proteins Humans Middle Aged Deep Learning Convolutional Neural Networks Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Parkinson Disease Female Aged Male Neural Networks, Computer Brain Retrospective Studies
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Sway frequencies may predict postural instability in Parkinson's disease: a novel convolutional neural network approach.

Journal of neuroengineering and rehabilitation Feb 18, 2025
BACKGROUND: Postural instability greatly reduces quality of life in people with Parkinson's disease (PD). Early and objective detection of postural impairments is crucial to facilitate interventions. Our aim was to use a convolutional neural network ...
Aged Male Middle Aged Postural Balance Convolutional Neural Networks Parkinson Disease Humans Neural Networks, Computer Female
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Efficient Neural Network Classification of Parkinson's Disease and Schizophrenia Using Resting-State EEG Data.

Brain topography Feb 17, 2025
Timely identification of Parkinson's disease and schizophrenia is crucial for the effective management and enhancement of patients' quality of life. The utilization of electroencephalogram (EEG) monitoring applications has proven instrumental in diag...
Brain Male Female Humans Neural Networks, Computer Middle Aged Parkinson Disease Electroencephalography Schizophrenia Aged
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VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 14, 2025
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Although deep network-based refinement segmentation and topology-preserving segmentation metho...
Cluster Analysis Parkinson Disease Image Interpretation, Computer-Assisted Databases, Factual Brain Imaging, Three-Dimensional Blood Vessels Humans Neural Networks, Computer Algorithms
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