Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 463-483 of 7,171 articles
A lightweight approach to gait abnormality detection for At Home health monitoring.

Gait abnormality detection is a growing application in machine learning based health assessment due ...

Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach.

In recent years, machine learning-based handwriting analysis has emerged as a valuable tool for supp...

Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI.

This paper introduces a novel convolutional neural network model with an attention mechanism to adva...

Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.

Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...

Development and evaluation of a machine learning model for osteoporosis risk prediction in Korean women.

BACKGROUND: The aim of this study was to develop a machine learning (ML) model for classifying osteo...

Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.

The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls ca...

Remote monitoring of Tai Chi balance training interventions in older adults using wearable sensors and machine learning.

Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting health...

Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction.

Current surface electromyography (sEMG) methods for locomotion mode prediction face limitations in a...

Mechanisms Tackling Salivary Gland Diseases with Extracellular Vesicle Therapies.

Extracellular vesicles (EVs) are lipid-enclosed particles released from cells, containing lipids, DN...

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials.

BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do...

Ensemble network using oblique coronal MRI for Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is a primary degenerative brain disorder commonly found in the elderly, Mil...

Accuracy and quality of ChatGPT-4o and Google Gemini performance on image-based neurosurgery board questions.

Large-language models (LLMs) have shown the capability to effectively answer medical board examinati...

AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters.

Artificial intelligence (AI) is increasingly used in healthcare, including dental and periodontal di...

New approach to specific Alzheimer's disease diagnosis based on plasma biomarkers in a cognitive disorder cohort.

BACKGROUND: The validation of a combination of plasma biomarkers and demographic variables is requir...

Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection.

Alzheimer's disease (AD) poses significant global health challenges due to its increasing prevalence...

Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the releva...

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