AIMC Topic: Alzheimer Disease
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Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
International journal of medical informatics
Dec 21, 2022
BACKGROUND: Cognitive tests and biomarkers are the key information to assess the severity and track the progression of Alzheimer's' disease (AD) and AD-related dementias (AD/ADRD), yet, both are often only documented in clinical narratives of patient...
Automatic lesion detection and segmentation in F-flutemetamol positron emission tomography images using deep learning.
Biomedical engineering online
Dec 20, 2022
BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, can now be confirmed in living patients using amyloid positron emission tomography (PET) tracers, and the accuracy of diagnosis can be improved by beta...
Personal Precise Force Field for Intrinsically Disordered and Ordered Proteins Based on Deep Learning.
Journal of chemical information and modeling
Dec 19, 2022
Intrinsically disordered proteins (IDPs) are proteins without a fixed three-dimensional (3D) structure under physiological conditions and are associated with Parkinson's disease, Alzheimer's disease, cancer, cardiovascular disease, amyloidosis, diabe...
Deep learning-based speech analysis for Alzheimer's disease detection: a literature review.
Alzheimer's research & therapy
Dec 14, 2022
BACKGROUND: Alzheimer's disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared ...
VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction.
Computer methods and programs in biomedicine
Nov 30, 2022
BACKGROUND AND OBJECTIVE: Mild cognitive impairment (MCI) is a transitional state between normal aging and Alzheimer's disease (AD), and accurately predicting the progression trend of MCI is critical to the early prevention and treatment of AD. Brain...
Interpretable brain disease classification and relevance-guided deep learning.
Scientific reports
Nov 24, 2022
Deep neural networks are increasingly used for neurological disease classification by MRI, but the networks' decisions are not easily interpretable by humans. Heat mapping by deep Taylor decomposition revealed that (potentially misleading) image feat...
Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment.
Human brain mapping
Nov 17, 2022
Exploring individual brain atrophy patterns is of great value in precision medicine for Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the current individual brain atrophy detection models are deficient. Here, we proposed a fr...
Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease Assessments.
Sensors (Basel, Switzerland)
Nov 17, 2022
Deep neural networks have been successfully applied to generate predictive patterns from medical and diagnostic data. This paper presents an approach for assessing persons with Alzheimer's disease (AD) mild cognitive impairment (MCI), compared with n...
Multi-stage classification of Alzheimer's disease from F-FDG-PET images using deep learning techniques.
Physical and engineering sciences in medicine
Nov 10, 2022
The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modality of brain imaging to detect multiple stages of dementia, including Early Mild Cognitive Impairment (EMCI) and Late Mild Cognitive Impairment (LMCI)...
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning.
Computers in biology and medicine
Nov 9, 2022
Alzheimer's disease is a neurodegenerative condition that gradually impairs cognitive abilities. Recently, various neuroimaging modalities and machine learning methods have surfaced to diagnose Alzheimer's disease. Resting-state fMRI is a neuroimagin...
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