AIMC Topic: Dementia

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Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis.

Nuclear medicine communications Feb 19, 2024
METHODS: 18F-FDG brain PET and clinical score were collected in 85 patients with dementia and 125 healthy controls (HC). Patients were assigned to various form of dementia on the basis of clinical evaluation, follow-up and voxels comparison with HC u...
Humans Brain Dementia Positron-Emission Tomography Fluorodeoxyglucose F18 Radiomics Deep Learning
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Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study.

Journal of medical Internet research Feb 13, 2024
BACKGROUND: Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to determining the severity of dementia and care needs among older adults. However, such information is often only documented in free-text clinical notes...
Female Aged Humans Male Dementia United States Aged, 80 and over Cross-Sectional Studies Medicare Natural Language Processing Activities of Daily Living Functional Status
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Prediction of dementia based on older adults' sleep disturbances using machine learning.

Computers in biology and medicine Feb 9, 2024
BACKGROUND: The most common degenerative condition in older adults is dementia, which can be predicted using a number of indicators and whose progression can be slowed down. One of the indicators of an increased risk of dementia is sleep disturbances...
Humans Machine Learning Aged Dementia Support Vector Machine Algorithms Bayes Theorem
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Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia.

Scientific reports Jan 22, 2024
Emotional and mood disturbances are common in people with dementia. Non-pharmacological interventions are beneficial for managing these disturbances. However, effectively applying these interventions, particularly in the person-centred approach, is a...
Mood Disorders Health Personnel Dementia Emotions Biological Ontologies Humans
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Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture.

International journal of language & communication disorders Nov 16, 2023
BACKGROUND: Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early dete...
Female Aged Humans Cognitive Dysfunction Male Dementia Aged, 80 and over Semantics Deep Learning Cross-Sectional Studies
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Applications of artificial intelligence in dementia.

Geriatrics & gerontology international Nov 2, 2023
The recent evolution of artificial intelligence (AI) can be considered life-changing. In particular, there is great interest in emerging hot topics in AI such as image classification and natural language processing. Our world has been revolutionized ...
Dementia Artificial Intelligence Machine Learning Humans Neural Networks, Computer
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Automatic selection of spoken language biomarkers for dementia detection.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2023
This paper analyzes diverse features extracted from spoken language to select the most discriminative ones for dementia detection. We present a two-step feature selection (FS) approach: Step 1 utilizes filter methods to pre-screen features, and Step ...
Dementia Humans Biomarkers Neural Networks, Computer Language
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Artificial intelligence for dementia prevention.

Alzheimer's & dementia : the journal of the Alzheimer's Association Oct 14, 2023
INTRODUCTION: A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical t...
Dementia Drug Development Machine Learning Risk Factors Humans Artificial Intelligence
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Speech and language processing with deep learning for dementia diagnosis: A systematic review.

Psychiatry research Oct 10, 2023
Dementia is a progressive neurodegenerative disease that burdens the person living with the disease, their families, and medical and social services. Timely diagnosis of dementia could be followed by introducing interventions that may slow down its p...
Humans Speech Dementia Neurodegenerative Diseases Language Deep Learning
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Artificial intelligence for dementia research methods optimization.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 28, 2023
Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dementia research. However, several methodological challenges exist that may limit the insights we can obtain from high-dimensional data and our ability ...
Reproducibility of Results Dementia Machine Learning Humans Research Design Artificial Intelligence
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