Geriatrics

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

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Showing 1198-1218 of 8,083 articles
Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

May 2025 39939167
Machine Learning Multimodal Model for Delirium Risk Stratification.

IMPORTANCE: Automating the identification of risk for developing hospital delirium with models that ...

May 2025 40332938
Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis.

We aim to characterize gender authorship in urology-related artificial intelligence (AI) research. A...

Apr 2025 40316000
Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool.

BACKGROUND: Individuals with chronic diseases are at higher risk of sarcopenia, and precise predicti...

Apr 2025 40301941
Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction.

OBJECTIVE: To construct an Alzheimer's Disease Knowledge Graph (ADKG) by extracting and integrating ...

Apr 2025 40306017
Evaluating the Chinese versions of delirium assessment scales: a diagnostic systematic review.

BACKGROUND: The purpose of this study is to examine the validity, reliability and methodological qua...

Apr 2025 40296051
AI in Home Care-Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study.

BACKGROUND: The aging population presents an accomplishment for society but also poses significant c...

Apr 2025 40294407
A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...

Apr 2025 40311517
Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data.

The study of biological age prediction using various biological data has been widely explored. Howev...

Apr 2025 40300657
Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

Apr 2025 40288591
A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.

The accurate prediction of RNA secondary structure, and pseudoknots in particular, is of great impor...

Apr 2025 40279361
Generative artificial intelligence, integrative bioinformatics, and single-cell analysis reveal Alzheimer's genetic and immune landscape.

The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...

Apr 2025 40496817
Enhanced EEG-based Alzheimer's disease detection using synchrosqueezing transform and deep transfer learning.

The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...

Apr 2025 40286903
A review of multimodal fusion-based deep learning for Alzheimer's disease.

Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...

Apr 2025 40286904
Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data.

OBJECTIVE: The aim of this study was to construct interpretable machine learning models to predict t...

Apr 2025 40269746
Cerebrospinal fluid inflammatory cytokines as prognostic indicators for cognitive decline across Alzheimer's disease spectrum.

BackgroundNeuroinflammation actively contributes to the pathophysiology of Alzheimer's disease (AD);...

Apr 2025 40262111
An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate ...

Apr 2025 40203865
The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system.

Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established...

Apr 2025 40263361
Revolutionizing Alzheimer's disease detection with a cutting-edge CAPCBAM deep learning framework.

Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While t...

Apr 2025 40263406
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