AI Medical Compendium Journal:
Alzheimer's & dementia : the journal of the Alzheimer's Association

Showing 1 to 10 of 38 articles

Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 30, 2025
INTRODUCTION: Machine learning (ML) helps diagnose the mild cognitive impairment-Alzheimer's disease (MCI-AD) spectrum. However, ML is fed with data unavailable in standard clinical practice. Thus, we tested a novel multi-step ML approach to predict ...
Humans Machine Learning Biomarkers Female Cognitive Dysfunction Amyloid beta-Peptides Peptide Fragments Alzheimer Disease Aged Aged, 80 and over Male Disease Progression tau Proteins Neuropsychological Tests
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Natural language processing-based classification of early Alzheimer's disease from connected speech.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 27, 2025
INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific...
Male Speech Natural Language Processing Female Alzheimer Disease Humans Aged Aged, 80 and over Sensitivity and Specificity
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An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 27, 2025
INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pathology, oversimplifying the heterogeneity of clinical AD.
Humans Biomarkers Brain Disease Progression Cluster Analysis Unsupervised Machine Learning Alzheimer Disease Amyloid beta-Peptides Neuroimaging Female Aged Male
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Developing machine-learning-based amyloidogenicity predictors with Cross-Beta DB.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 8, 2025
INTRODUCTION: The importance of protein amyloidogenesis, associated with various diseases and functional roles, has driven the creation of computational predictors of amyloidogenicity. The accuracy of these predictors, particularly those utilizing ar...
Algorithms Databases, Factual Computational Biology Amyloid beta-Peptides Humans Machine Learning
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A multi-view learning approach with diffusion model to synthesize FDG PET from MRI T1WI for diagnosis of Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association Dec 6, 2024
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-based Alzheimer's disease (AD) diagnosis.
Alzheimer Disease Positron-Emission Tomography Fluorodeoxyglucose F18 Brain Magnetic Resonance Imaging Radiopharmaceuticals Humans Machine Learning
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Assessing polyomic risk to predict Alzheimer's disease using a machine learning model.

Alzheimer's & dementia : the journal of the Alzheimer's Association Nov 7, 2024
INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia in the elderly. Given that AD neuropathology begins decades before symptoms, there is a dire need for effective screening tools for early detection of AD to facilitate early i...
Humans Machine Learning Proteomics Glial Fibrillary Acidic Protein Alzheimer Disease Age of Onset Male Biomarkers Apolipoproteins E Deep Learning Chemokines, CXC Female ROC Curve Aged Genomics
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Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association Oct 16, 2024
INTRODUCTION: Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear.
Gait Neuropsychological Tests Cerebral Small Vessel Diseases Artificial Intelligence Female Aged Male Middle Aged Cognitive Dysfunction Cohort Studies Humans
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Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 14, 2024
INTRODUCTION: The incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study examined whether factors affecting metabolism, race/ethnicity, and sex are associated with AD development.
Aged Aged, 80 and over Male California Humans Hispanic or Latino Obesity Native Hawaiian or Pacific Islander Alzheimer Disease Machine Learning Black or African American Proportional Hazards Models Electronic Health Records White Female Risk Factors
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Significance of plasma p-tau217 in predicting long-term dementia risk in older community residents: Insights from machine learning approaches.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 8, 2024
INTRODUCTION: Whether plasma biomarkers play roles in predicting incident dementia among the general population is worth exploring.
Male Dementia Cohort Studies tau Proteins Independent Living Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Biomarkers
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Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jun 25, 2024
INTRODUCTION: Identification of individuals with mild cognitive impairment (MCI) who are at risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of clinical trials.
Speech Cognitive Dysfunction Aged Alzheimer Disease Natural Language Processing Aged, 80 and over Neuropsychological Tests Humans Male Machine Learning Disease Progression Female
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