AIMC Topic: Alzheimer Disease

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Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer's Disease Diagnosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 19, 2025
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer's disease (AD). Given the proven eff...
Diagnosis, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Algorithms Databases, Factual Brain Humans Neural Networks, Computer Machine Learning
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Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Scientific reports Mar 18, 2025
Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving the common practice of screening for Mild Cognitive Impairment (MCI). However, the progressive nature of AD makes it challenging to identify its causa...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Male Alzheimer Disease Positron-Emission Tomography Deep Learning Cognitive Dysfunction Brain Humans Female Neural Networks, Computer Aged
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A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

Scientific reports Mar 11, 2025
An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) by ensuring robustness of the ML models' interpretations. The dataset used comprises volumetric me...
Neuroimaging Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Humans Machine Learning Brain Aged, 80 and over Male Female Aged
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Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.

The journal of prevention of Alzheimer's disease Mar 8, 2025
BACKGROUND: Integrating machine learning with medical records offers potential for early detection of Alzheimer's disease (AD), enabling timely interventions.
Middle Aged Alzheimer Disease Early Diagnosis Female Sweden Aged Sensitivity and Specificity Male Aged, 80 and over Adult Humans Machine Learning
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MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer's disease diagnosis.

Computer methods and programs in biomedicine Mar 7, 2025
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and healthcare resource allocation due to its high incidence and mortality. Therefore, early detection and intervention are crucial for reducing AD-relate...
Humans Deep Learning Magnetic Resonance Imaging Alzheimer Disease Ensemble Learning Neural Networks, Computer Machine Learning Algorithms
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Physics-informed machine learning for automatic model reduction in chemical reaction networks.

Scientific reports Mar 7, 2025
Physics-informed machine learning bridges the gap between the high fidelity of mechanistic models and the adaptive insights of artificial intelligence. In chemical reaction network modeling, this synergy proves valuable, addressing the high computati...
Humans Machine Learning Algorithms Computer Simulation Alzheimer Disease Models, Chemical Amyloid beta-Peptides Kinetics
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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...
Parkinson Disease Sleep Deprivation Adult Algorithms Electroencephalography Imagination Humans Alzheimer Disease Male Female Signal Processing, Computer-Assisted Deep Learning Artifacts Neural Networks, Computer Blinking
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Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology Mar 6, 2025
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Humans Brain Neural Networks, Computer Cognitive Dysfunction Imaging, Three-Dimensional
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A comprehensive approach to anticipating the progression of mild cognitive impairment.

Brain research Mar 6, 2025
The immersive experience provided by our approach empowers researchers with an intuitive exploration of brain structures. Within the brain's central nervous system, encompassing both white and gray matter, symptoms associated with Alzheimer's disease...
Cognitive Dysfunction Magnetic Resonance Imaging Humans Alzheimer Disease Brain Gray Matter Disease Progression
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Deep learning-based classification of dementia using image representation of subcortical signals.

BMC medical informatics and decision making Mar 6, 2025
BACKGROUND: Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. Early and accurate diagnosis of dementi...
Humans Female Aged Alzheimer Disease Frontotemporal Dementia Hippocampus Thalamus Amygdala Male Cognitive Dysfunction Middle Aged Dementia Deep Learning Electroencephalography
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