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

Showing 31 to 38 of 38 articles

Early detection of Alzheimer's disease using deep learning methods.

Alzheimer's & dementia : the journal of the Alzheimer's Association May 1, 2025
INTRODUCTION: Alzheimer's disease (AD), a leading cause of dementia, requires early detection for effective intervention. This study employs AI to analyze multimodal datasets, including clinical, biomarker, and neuroimaging data, using hybrid deep le...
Deep Learning Magnetic Resonance Imaging Alzheimer Disease Early Diagnosis Neuroimaging Female Aged Male Humans Neural Networks, Computer Brain
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Dual-stream algorithms for dementia detection: Harnessing structured and unstructured electronic health record data, a novel approach to prevalence estimation.

Alzheimer's & dementia : the journal of the Alzheimer's Association May 1, 2025
INTRODUCTION: Identifying individuals with dementia is crucial for prevalence estimation and service planning, but reliable, scalable methods are lacking. We developed novel set algorithms using both structured and unstructured electronic health reco...
Aged Aged, 80 and over Male Algorithms Electronic Health Records Female Cohort Studies Humans United States Australia Natural Language Processing Middle Aged Prevalence Dementia
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Predicting amyloid beta accumulation in cognitively unimpaired older adults: Cognitive assessments provide no additional utility beyond demographic and genetic factors.

Alzheimer's & dementia : the journal of the Alzheimer's Association Mar 1, 2025
BACKGROUND: Integrating non-invasive measures to estimate abnormal amyloid beta accumulation (Aβ+) is key to developing a screening tool for preclinical Alzheimer's disease (AD). The predictive capability of standard neuropsychological tests in estim...
Humans Machine Learning Biomarkers Cognition Australia Amyloid beta-Peptides Alzheimer Disease Neuropsychological Tests Aged, 80 and over Male Cohort Studies Female Risk Factors Aged
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A deep-learning retinal aging biomarker for cognitive decline and incident dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association Mar 1, 2025
INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive decline remains under-explored.
Retina Cognitive Dysfunction Dementia Incidence Cohort Studies Magnetic Resonance Imaging Singapore Male Aging Female Deep Learning Aged Aged, 80 and over Humans Biomarkers
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Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.

Alzheimer's & dementia : the journal of the Alzheimer's Association Mar 1, 2025
INTRODUCTION: Cerebral amyloid angiopathy (CAA) is a cerebrovascular condition, the severity of which can only be determined post mortem. Here, we developed machine learning models, the Florey CAA Score (FCAAS), to predict CAA severity (none/mild/mod...
Female Aged Aged, 80 and over Humans Machine Learning Cohort Studies ROC Curve Cerebral Amyloid Angiopathy Male Severity of Illness Index Pilot Projects
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A systematic exposure-wide framework leveraging machine learning to identify multidomain exposure factors and their joint influence on cognitive function: Evidence from a neurological cohort.

Alzheimer's & dementia : the journal of the Alzheimer's Association Feb 1, 2025
INTRODUCTION: Cognitive decline has become a growing public concern, yet large-scale exposure data identifying the contributing factors remain limited.
Middle Aged Cognitive Dysfunction Cohort Studies Risk Factors Aged Male Neuropsychological Tests Humans Cognition Machine Learning Cluster Analysis Female Life Style
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Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data.

Alzheimer's & dementia : the journal of the Alzheimer's Association Feb 1, 2025
INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assessing regional load of tau pathology in the brain, but its routine clinical use is limited by cost and accessibility barriers.
Alzheimer Disease Positron-Emission Tomography tau Proteins Aged Male Magnetic Resonance Imaging Biomarkers Brain Female Humans Machine Learning
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Towards emotionally aligned social robots for dementia: perspectives of care partners and persons with dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association Dec 1, 2022
BACKGROUND: Persons living with dementia and their care partners place a high value on aging in place and maintaining independence. Socially assistive robots - embodied characters or pets that provide companionship and aid through social interaction ...
Independent Living Canada Social Interaction Robotics Caregivers Self-Help Devices Humans Aged Dementia
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