Geriatrics

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

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Showing 1786-1806 of 7,246 articles
Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches.

Osteoporosis contributes significantly to health and economic burdens worldwide. However, the develo...

Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review.

PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (A...

Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.

Radiologists today play a central role in making diagnostic decisions and labeling images for traini...

Smart Pneumatic Artificial Muscle Using a Bend Sensor like a Human Muscle with a Muscle Spindle.

Shortage of labor and increased work of young people are causing problems in terms of care and welfa...

A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition.

Abstract-domain adaptation action recognition is a hot research topic in machine learning and some e...

ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction.

Effectively predicting protein toxicity plays an essential step in the early stage of protein-based ...

UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision.

Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use...

Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease Assessments.

Deep neural networks have been successfully applied to generate predictive patterns from medical and...

Utilizing artificial intelligence and electroencephalography to assess expertise on a simulated neurosurgical task.

Virtual reality surgical simulators have facilitated surgical education by providing a safe training...

Φ-OTDR Signal Identification Method Based on Multimodal Fusion.

Distributed fiber optic sensing (DFS) systems are an effective method for long-distance pipeline saf...

How long does image based robotic total knee arthroplasty take during the learning phase? Analysis of the key steps from the first fifty cases.

INTRODUCTION: Robotically assisted total knee arthroplasty (RA-TKA) is an emerging surgical tool. Th...

Utilizing deep learning for dermal matrix quality assessment on in vivo line-field confocal optical coherence tomography images.

BACKGROUND: Line-field confocal optical coherence tomography (LC-OCT) is an imaging technique provid...

GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms.

Selection of differentially expressed genes (DEGs) is a vital process to discover the causes of dise...

Protein structure prediction in the deep learning era.

Significant advances have been achieved in protein structure prediction, especially with the recent ...

Multi-stage classification of Alzheimer's disease from F-FDG-PET images using deep learning techniques.

The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modal...

Deep learning signature of brain [F]FDG PET associated with cognitive outcome of rapid eye movement sleep behavior disorder.

An objective biomarker to predict the outcome of isolated rapid eye movement sleep behavior disorder...

Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning.

Alzheimer's disease is a neurodegenerative condition that gradually impairs cognitive abilities. Rec...

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