AIMC Topic: Parkinson Disease

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Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.

Journal of Parkinson's disease Feb 13, 2025
BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments against standardized scales, leading to variability due to confounders. Improving inter-rater agreement is essential for effective disease management.Objec...
Movement Neurologic Examination Severity of Illness Index Parkinson Disease Video Recording Aged Male Middle Aged Humans Female Reproducibility of Results Machine Learning Prospective Studies
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Review on computational methods for the detection and classification of Parkinson's Disease.

Computers in biology and medicine Feb 11, 2025
BACKGROUND AND OBJECTIVE: The worldwide estimates reveal two-fold increase in incidence of Parkinson's disease (PD) over 25 years. The two-fold increased incidence and lack of proper treatment uplifted a compelling solicitude, nagging towards accurat...
Parkinson Disease Image Interpretation, Computer-Assisted Humans Deep Learning Magnetic Resonance Imaging Machine Learning Diagnosis, Computer-Assisted
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Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.

IEEE transactions on neural networks and learning systems Feb 6, 2025
The human brain is a highly complex neurological system that has been the subject of continuous exploration by scientists. With the help of modern neuroimaging techniques, there has been significant progress made in brain disorder analysis. There is ...
Humans Brain Diseases Neuroimaging Attention Deficit Disorder with Hyperactivity Brain Neural Networks, Computer Magnetic Resonance Imaging Parkinson Disease Artificial Intelligence Algorithms
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Multi-source sparse broad transfer learning for parkinson's disease diagnosis via speech.

Medical & biological engineering & computing Feb 4, 2025
Diagnosing Parkinson's disease (PD) via speech is crucial for its non-invasive and convenient data collection. However, the small sample size of PD speech data impedes accurate recognition of PD speech. Therefore, we propose a novel multi-source spar...
Speech Parkinson Disease Aged Male Algorithms Middle Aged Female Humans Machine Learning
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Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

Parkinsonism & related disorders Feb 4, 2025
INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-known measure to assess disability in persons with Parkinson's disease (PD). The purpose of this study was to develop a short form of the WHODAS 2.0...
Machine Learning Female Reproducibility of Results Humans Parkinson Disease Disability Evaluation World Health Organization Aged Male Middle Aged
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Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks (part II).

Journal of the neurological sciences Jan 31, 2025
Neural networks (NNs) possess the capability to learn complex data relationships, recognize inherent patterns by emulating human brain functions, and generate predictions based on novel data. We conducted deep learning utilizing an NN to differentiat...
Multiple System Atrophy Parkinson Disease Middle Aged Diagnosis, Differential Deep Learning Humans Female Parkinsonian Disorders Magnetic Resonance Imaging Neural Networks, Computer Aged Brain Male
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Significance of gender, brain region and EEG band complexity analysis for Parkinson's disease classification using recurrence plots and machine learning algorithms.

Physical and engineering sciences in medicine Jan 27, 2025
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment ...
Sex Factors Algorithms Entropy Brain Parkinson Disease Female Aged Electroencephalography Humans Male Machine Learning Middle Aged Signal Processing, Computer-Assisted Sex Characteristics
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Recognition and classification of facial expression using artificial intelligence as a key of early detection in neurological disorders.

Reviews in the neurosciences Jan 21, 2025
The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring of neurodegenerative disorders. This narrative review critically examines the current state of ...
Humans Neurodegenerative Diseases Alzheimer Disease Early Diagnosis Facial Expression Artificial Intelligence Deep Learning Parkinson Disease
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Efficient recognition of Parkinson's disease mice on stepping characters with CNN.

Scientific reports Jan 20, 2025
Parkinson's disease (PD), as the second most prevalent neurodegenerative disorder worldwide, impacts the quality of life for over 12 million patients. This study aims to enhance the accuracy of early diagnosis of PD through non-invasive methods, with...
Mice Disease Models, Animal Mice, Inbred C57BL Parkinson Disease Algorithms Early Diagnosis Neural Networks, Computer Animals Image Processing, Computer-Assisted
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PIDGN: An explainable multimodal deep learning framework for early prediction of Parkinson's disease.

Journal of neuroscience methods Jan 18, 2025
BACKGROUND: Parkinson's disease (PD), the second most common neurodegenerative disease in the world, is usually not diagnosed until the later stages of the disease, when patients might have already missed the best treatment period. Therefore, more ef...
Humans Neural Networks, Computer Parkinson Disease Early Diagnosis Deep Learning Polymorphism, Single Nucleotide Magnetic Resonance Imaging Brain Female Male
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