Geriatrics

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

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Showing 43-63 of 7,162 articles
Forecasting the fall: the role of machine learning in predicting intraoperative hypotension, a scoping review.

INTRODUCTION: Intraoperative hypotension is associated with increased risk of postoperative mortalit...

Integrated transcriptomic and proteomic analysis identifies FBXW7 as a key regulator of tau homeostasis in Alzheimer's disease.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex, in...

A hybrid filtering and deep learning approach for early Alzheimer's disease identification.

Alzheimer's disease is a progressive neurological disorder that profoundly affects cognitive functio...

A novel deep learning-based brain age prediction framework for routine clinical MRI scans.

Physiological brain aging is associated with cognitive impairment and neuroanatomical changes. Brain...

Proteomic Signatures of Epigenetic Age in African Green Monkey Cerebrospinal Fluid and Plasma.

Strategies to slow the aging process or mitigate its consequences on health rely on the validation o...

Why traditional validation may fall short for artificial intelligence in bioanalysis: a perspective from the European Bioanalysis Forum.

As artificial intelligence enters bioanalysis, traditional validation frameworks, designed for stati...

Predicting Elder Abuse Using a Random Forest Classifier.

This paper aims to identify key factors influencing elder abuse within the family and to further exp...

Effect of a communication robot in the prevention of postoperative delirium in older persons: A randomized controlled trial.

Japan Clinical Trials Registry (jRCT) (URL: https://jrct.mhlw.go.jp; No. jRCT1030250018; date: April...

Predicting depressive symptoms through social support: a machine learning approach in military populations.

Perceived Social support has been consistently shown to reduce depressive symptoms among military p...

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with his...

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework.

Global population aging highlights the need to understand how the elderly perceive safety in urban p...

The oral microbiome and its effect on exhaled breath volatile analysis - the elephant in the room.

The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhal...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

Application of machine learning in EEG-based dementia diagnosis: Classification and differential diagnosis.

BackgroundElectroencephalogram (EEG) is a promising, non-invasive method for identifying the presenc...

Uncovering multimorbidity patterns linked to disability in aging populations: A machine learning analysis.

AIM: Multimorbidity and disability are prevalent in older adults, yet the relationship between speci...

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

Muscle function and composition are important indicators of age-related health. However, current ass...

Precision nutrition in epigenetic aging: SHAP-optimized machine learning identifies omega-3 constituent-specific associations with aging biomarkers.

This cross-sectional investigation seeks to examine the association between dietary omega-3 fatty ac...

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

This study aims to identify depressive risks in elderly individuals with subjective cognitive declin...

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...

Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining.

Exploring students' cognitive abilities has long been an important topic in education. This study em...

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