Geriatrics

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

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Showing 64-84 of 7,162 articles
Large language model-based biological age prediction in large-scale populations.

Accurate and convenient assessment of individual aging is crucial for identifying health risks and p...

Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.

Delirium is a severe and common complication among critically ill patients, particularly those with ...

An explainable transformer model for Alzheimer's disease detection using retinal imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the abs...

Multi-omic profiling reveals age-specific blood biomarkers and aging-driven B Cell remodeling in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) pathogenesis involves age-related immune dysregulation, yet non-inva...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Machine learning in Alzheimer's disease genetics.

Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

Development and validation of a nomogram model to predict postoperative delirium after resection of esophageal cancer.

The study aimed to establish and validate a nomogram model to predict postoperative delirium (POD) a...

AI-Assisted Semiquantitative Measurement of Murine Bleomycin-Induced Lung Fibrosis Using In Vivo Micro-CT: An End-to-End Approach.

Small animal models are crucial for investigating idiopathic pulmonary fibrosis (IPF) and developing...

Application of machine learning reveals diagnostic biomarkers related to pyroptosis in Alzheimer's disease and analysis of immune infiltration.

BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...

Optimized sequential classification models for mild cognitive impairment screening based on handwriting and speech data.

BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, ...

Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, ...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

Characterizing structure-function coupling in subjective memory complaints of preclinical Alzheimer's disease.

BackgroundSubjective cognitive decline (SCD) is recognized as an early phase in the progression of A...

Reflections on dynamic prediction of Alzheimer's disease: advancements in modeling longitudinal outcomes and time-to-event data.

BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision mak...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Landmark-free automatic digital twin registration in robot-assisted partial nephrectomy using a generic end-to-end model.

PURPOSE: Augmented Reality in Minimally Invasive Surgery has made tremendous progress in organs incl...

M4CEA: A Knowledge-guided Foundation Model for Childhood Epilepsy Analysis.

Existing electroencephalogram (EEG)-based deep learning models are mainly designed for single or sev...

An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data.

BACKGROUND: The accurate early-stage diagnosis of gallbladder cancer (GBC) is regarded as one of the...

Multi-tissue Methylation Analysis of Alzheimer's Disease: Insights into Pathways, Modules, and Key Genes.

DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genom...

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