Geriatrics

Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.

Although studies have evaluated emphysema and fibrotic interstitial lung abnormality individually, less is known about their combined progression. To define clinically meaningful progression of fibrotic interstitial lung abnormality in smokers without interstitial lung disease and evaluate the effects of fibrosis and emphysema progression on mortality. Emphysema and pulmonary fibrosis were asse...

Hypomagnesemia and 25-hydroxyvitamin D deficiency in patients with long COVID.

Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in patients with an extended course of coronavirus disease-2019 (long COVID). To evaluate hypomagnesemia and hydroxyvitamin D deficiency in patients with long COVID. A total of 125 adults with a diagnosis of long COVID were enrolled in a cross-sectional study. Participants were allocated into a risk (hypo...

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

The employment of socially assistive robotics (SAR) is increasingly being considered a credible solution to support healthcare systems in dealing with...

A Study on Standard for Safety Requirements for Care Robots.

Recently, care robots are being developed that incorporate robotics into assistive products that focus on daily care for the physically disabled or el...

ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packing.

Computational protein design has been demonstrated to be the most powerful tool in the last few years among protein designing and repacking tasks. In ...

Feature extraction of time series data on functional near-infrared spectroscopy and comparison of deep learning performance for classifying patients with Alzheimer's-related mild cognitive impairment: a post-hoc analysis of a diagnostic interventional trial.

OBJECTIVE: This study aimed to define a method of classifying patients with mild cognitive impairment caused by Alzheimer's disease by the retrieval o...

Fall Risk Prediction in Older Adults Using Free-Text Nursing Notes and Medications in Electronic Health Records.

Nursing notes in Electronic Health Records (EHR) contain critical health information, including fall risk factors. However, an exploration of fall ris...

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

Early detection of individuals with a high risk of dementia is crucial for prompt intervention and clinical care. This study aims to identify high-ris...

Alzheimer's Together with Mild Cognitive Impairment Screening Using Polar Transformation of Middle Zone of Fundus Images Based Deep Learning.

Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) are considered an increasing major health problem in elderlies. However, current clinical...

GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.

We introduce an explainable deep neural architecture that combines brain structure with genetic influence to improve disease severity prediction in Al...

Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot.

Rehabilitation training for patients with motor disabilities usually requires specialized devices in rehabilitation centers. Home-based multi-purpose ...

COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data.

MOTIVATION: The size of available omics datasets is steadily increasing with technological advancement in recent years. While this increase in sample ...

[Metal artifact reduction and clinical verification in oral and maxillofacial region based on deep learning].

To construct a kind of neural network for eliminating the metal artifacts in CT images by training the generative adversarial networks (GAN) model, s...

[Automated diagnostic classification with lateral cephalograms based on deep learning network model].

To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for o...

End-to-end interpretable disease-gene association prediction.

Identifying disease-gene associations is a fundamental and critical biomedical task towards understanding molecular mechanisms, the diagnosis and trea...

Promoting Healthy Aging Using a Robot Support System and Emotion Recognition.

The aging population poses challenges such as loneliness, decreased mobility, and medical conditions. To tackle these issues, a proposed robot platfor...

Impact of Professional Background on Inter-Annotator Variability and Accuracy During Annotation of Clinical Notes.

BACKGROUND: The aging population's need for treatment of chronic diseases is exhibiting a marked increase in urgency, with heart failure being one of ...

[Does artificial intelligence have a role in osteoporosis management?].

The individual and societal burden of osteoporosis is high and will continue to increase due to the demographic situation. Applications based on artif...

Predicting future falls in older people using natural language processing of general practitioners' clinical notes.

BACKGROUND: Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health rec...

Prediction of pulp exposure risk of carious pulpitis based on deep learning.

OBJECTIVES: This study aims to predict the risk of deep caries exposure in radiographic images based on the convolutional neural network model, compar...