Geriatrics

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

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Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particul...

[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...

Analysis of TEM micrographs with deep learning reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer's dementia.

High-density lipoprotein (HDL) particle diameter distribution is informative in the diagnosis of man...

Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps.

OBJECTIVES: Falls are among the most prevalent workplace accidents, necessitating thorough screening...

A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment.

Authentication is a critical challenge in fog computing security, especially as fog servers provide ...

Sarcopenia prediction model based on machine learning and SHAP values for community-based older adults with cardiovascular disease in China.

BACKGROUND: Sarcopenia (SP), is recognized as a complication of cardiovascular disease (CVD), but fe...

Urban-rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.

BACKGROUND: Falls among older adults are a significant challenge to global healthy aging. Identifyin...

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...

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...

Knowledge map of artificial intelligence in neurodegenerative diseases: a decade-long bibliometric and visualization study.

BACKGROUND: As the incidence of neurodegenerative diseases increases, the related AI research is get...

Leveraging transformers and explainable AI for Alzheimer's disease interpretability.

Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, ...

Artificial intelligence and omics-based autoantibody profiling in dementia.

INTRODUCTION: Dementia is a neurodegenerative syndrome marked by the accumulation of disease-specifi...

A Real-Time Plasma Concentration Prediction Model for Voriconazole in Elderly Patients via Machine Learning Combined with Population Pharmacokinetics.

PURPOSE: Voriconazole (VCZ) is a first-line treatment for invasive fungal disease, characterized by ...

Comprehensive Machine Learning-Based Prediction Model for Delirium Risk in Older Patients with Dementia: Risk Factors Identification.

BACKGROUND: Delirium superimposed on dementia (DSD) is a severe complication in older adults with de...

Fully automated MRI-based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI-Net.

INTRODUCTION: The locus coeruleus (LC) is linked to the development and pathophysiology of neurodege...

OS-DETR: End-to-end brain tumor detection framework based on orthogonal channel shuffle networks.

OrthoNets use the Gram-Schmidt process to achieve orthogonality among filters but do not impose cons...

Creating Chemiluminescence Signature Arrays Coupled with Machine Learning for Alzheimer's Disease Serum Diagnosis.

Although omics and multi-omics approaches are the most used methods to create signature arrays for l...

All-Cause Mortality Risk in Elderly Patients with Femoral Neck and Intertrochanteric Fractures: A Predictive Model Based on Machine Learning.

INTRODUCTION: The aim of this study was to identify the influencing factors for all-cause mortality ...

Association of RDoC dimensions with brain transcriptional profiles in Alzheimer's disease.

INTRODUCTION: Neuropsychiatric symptoms are common in people with Alzheimer's disease (AD) across al...

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