Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 4663-4683 of 8,142 articles
Machine Learning for Longitudinal Brain-Age Prediction

Cross-sectional brain age models have demonstrated high accuracy and reliability for predicting chro...

Data Extraction from Oncology Imaging Reports by Large Language Models: A Comparative Accuracy Study

Manual data extraction from clinical text is resource intensive. Locally hosted large language model...

Relationship of the Microbiome with Neurodegenerative Diseases: Development of AI Tools to Detect Alzheimer’s

This study aimed to develop an artificial intelligence (AI) algorithm capable of distinguishing Alzh...

Environmental Chemicals as Modifiers of the Association between Age and Ovarian Reserve

To evaluate whether the well-established age-related reduction in antral follicle counts (AFC) is gr...

Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment

Cognitive impairment (CI) is often under detected in primary care due to time and resource constrain...

A foundation model for mapping the phenomic and genetic landscape of cerebral small vessel disease biomarkers

Cerebral small vessel disease (CSVD) is a leading cause of age-related cognitive decline and neurolo...

Clustering high-cost patients in England using machine learning: a population-based cohort study

To identify clusters of high-cost patients in England based on diagnoses and sociodemographic charac...

Performance of a Chinese Cognitive Decline Risk Model in a Japanese Cohort: A Validation Study

To develop a simple risk prediction model for cognitive decline in a Chinese older adult cohort, and...

Drug-drug interaction identification using large language models

Drug-drug interactions (DDIs) are a significant source of morbidity and adverse drug events (ADEs), ...

Multiscale-Multistage Temporal Convolutional Network for EEG-Based Mild Cognitive Impairment Detection

Mild cognitive impairment (MCI) is an intermediate stage between normal ageing and dementia, with af...

CLIN-SUMM: Temporal Summarization of Longitudinal Clinical Notes

Electronic health records (EHRs) contain years of longitudinal clinical notes that capture evolving ...

Brain Region-Centered MultiModal Hypergraph Fusion for MCI Conversion Prediction

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment...

Dementia etiology classification using NULISA plasma biomarkers and machine learning

Accurate antemortem differentiation among dementia etiologies remains challenging, particularly for ...

Alzheimer's disease detection based on large language model prompt engineering

In light of the growing proportion of older individuals in our society, the timely diagnosis of Al...

Identification and validation of pyroptosis-related genes in Alzheimer's disease based on multi-transcriptome and machine learning.

BACKGROUND: Alzheimer's disease (AD) progression is characterized by persistent neuroinflammation, w...

Jan 2025 40438507
Nanocarrier-based targeted drug delivery for Alzheimer's disease: addressing neuroinflammation and enhancing clinical translation.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...

Jan 2025 40438598
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