Geriatrics

PPAD: a deep learning architecture to predict progression of Alzheimer's disease.

MOTIVATION: Alzheimer's disease (AD) is a neurodegenerative disease that affects millions of people ...

'Hello, I am Baymax, your personal healthcare companion': the company of robotics and artificial intelligence on elderly.

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

To establish a comprehensive diagnostic classification model of lateral cephalograms based on artif...

[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 ...

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

Identifying disease-gene associations is a fundamental and critical biomedical task towards understa...

SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.

Wood identification is a key step in the enforcement of laws and regulations aimed at combatting ill...

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 inc...

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

The aging population poses challenges such as loneliness, decreased mobility, and medical conditions...

Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views.

AIMS: Left atrial volume is commonly estimated using the bi-plane area-length method from two-chambe...

[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 ...

[Application of Deep Learning in Differential Diagnosis of Ameloblastoma and Odontogenic Keratocyst Based on Panoramic Radiographs].

Objective To evaluate the accuracy of different convolutional neural networks (CNN),representative d...

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...

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 indi...

AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.

Alzheimer's disease (AD) is one of the most challenging neurodegenerative diseases because of its co...

AgeAnno: a knowledgebase of single-cell annotation of aging in human.

Aging is a complex process that accompanied by molecular and cellular alterations. The identificatio...

Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes.

This study aimed to analyse cerebral grey matter changes in mild cognitive impairment (MCI) using vo...

Biomarkers of aging - current state of knowledge.

Aging is a process of gradual decline in the functional capacity of the human body that leads to a s...

Usability and Acceptability of Social Robot Pets Among Community-Dwelling Veterans Living With Dementia and Their Caregivers.

Social robot pets promote engagement and psychosocial well-being among older adults, yet little is k...

Effects of end-effector robot-assisted gait training on gait ability, muscle strength, and balance in patients with spinal cord injury.

BACKGROUND: There is no randomized controlled study about the effects of end-effector robot-assisted...

[Frailty and surgical tolerability in elderly patients undergoing robot-assisted radical cystectomy (RARC)].

Robot-assisted radical cystectomy (RARC) has become a gold standard therapeutic option for muscle-in...

DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions.

MOTIVATION: Drug-food interactions (DFIs) occur when some constituents of food affect the bioaccessi...