AIMC Topic: Aged

Clear Filters Showing 13071 to 13080 of 14227 articles

Using a Social Robot to Engage Older Adults Living in Residential Care Homes in Cognitive Training: Preliminary Results from the SHAPES Project.

Studies in health technology and informatics
The employment of socially assistive robotics (SAR) is increasingly being considered a credible solution to support healthcare systems in dealing with an aging society. In this contribution, we explore the experience of older adults (n = 11) living i...

Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms.

Mathematical biosciences and engineering : MBE
Motion recognition provides movement information for people with physical dysfunction, the elderly and motion-sensing games production, and is important for accurate recognition of human motion. We employed three classical machine learning algorithms...

Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Emotion recognition in conversations using artificial intelligence (AI) has recently gained a lot of attention, as it can provide additional emotion cues that can be correlated with human social behavior. An extension towards an AI-based emotional cl...

Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Early detection of individuals with a high risk of dementia is crucial for prompt intervention and clinical care. This study aims to identify high-risk groups for developing dementia by predicting the outcome of the Mini-Mental State Examination (MMS...

Estimation of Wound Area and Severity Level of Skin tear using Deep Learning Methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Skin tears occur mainly in older adults, making it difficult to identify the wound area and severity level when making care decision. We propose an algorithm for estimating the wound area and severity level of skin tears using a deep learning method....

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automated detection of atrial fibrillation (AF) from electrocardiogram (ECG) traces remains a challenging task and is crucial for telemonitoring of patients after stroke. This study aimed to quantify the generalizability of a deep learning (DL)-based...

Robotic versus nonrobotic sacroiliac joint fusion.

Neurosurgical focus
OBJECTIVE: Robot-assisted pedicle screw placement in spinal fusion has been well studied. However, few studies have evaluated robot-assisted sacroiliac joint (SIJ) fusion. The aim of this study was to compare surgical characteristics, accuracy, and c...

Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography.

Medicine
To compare the quality and interobserver agreement in the evaluation of lumbar spinal stenosis (LSS) on computed tomography (CT) images between deep-learning reconstruction (DLR) and hybrid iterative reconstruction (hybrid IR). This retrospective stu...

[Stage at diagnosis of prostate cancer in an institutional hospital. Review and comparison of national and international data].

Revista medica de Chile
INTRODUCTION: Prostate cancer (PCa) is a disease with a high prevalence and incidence worldwide. Screening has pursued the early diagnosis of this disease to provide early treatment. We sought to characterize patients from a local hospital with respe...