Geriatrics

Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segme...

Adaptive Neural Sliding-Mode Controller for Alternative Control Strategies in Lower Limb Rehabilitation.

Research on control strategies for rehabilitation robots has gradually shifted from providing therap...

Changes of Cerebral Blood Volume During Robot-Assisted Laparoscopic Radical Prostatectomy: Observational Prospective Study Using Near-Infrared Time-Resolved Spectroscopy by Tanaka et al. (From: Tanaka N, Yamamoto M, Abe T, et al. J Endourol 2019;33:995-1001; DOI: 10.1089/end.2019.0217).

Re: Recovery of Pad-Free Continence in Elderly Men Does Not Differ from Younger Men Undergoing Robot-Assisted Radical Prostatectomy for Aggressive Prostate Cancer.

Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning.

Fetal congenital heart disease (FHD) is a common and serious congenital malformation in children. In...

Development of a clinical support system for identifying social frailty.

OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is cha...

Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England.

OBJECTIVE: Companion robots, such as Paro, may reduce agitation and depression for older people with...

BIA: ehavior dentification lgorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly.

Behavior identification plays an important role in supporting homecare for the elderly living alone....

Developing assistive robots for people with mild cognitive impairment and mild dementia: a qualitative study with older adults and experts in aged care.

OBJECTIVES: This research is part of an international project to design and test a home-based health...

Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An e...

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

The goal of this study is to estimate micro-architectural parameters of cortical porosity such as po...

Using path signatures to predict a diagnosis of Alzheimer's disease.

The path signature is a means of feature generation that can encode nonlinear interactions in data i...

Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting o...

EUSKOR: End-to-end coreference resolution system for Basque.

This paper describes the process of adapting the Stanford Coreference resolution module to the Basqu...

CIGuide: in situ augmented reality laser guidance.

PURPOSE : A robotic intraoperative laser guidance system with hybrid optic-magnetic tracking for sku...

Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.

INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fa...

Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score.

F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topograp...

Deep Learning to Improve Breast Cancer Detection on Screening Mammography.

The rapid development of deep learning, a family of machine learning techniques, has spurred much in...

Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM.

Human falls are the premier cause of fatal and nonfatal injuries among older adults. The health outc...

Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking.

For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground ...

The benefits of and barriers to using a social robot PARO in care settings: a scoping review.

BACKGROUND: Given the complexity of providing dementia care in hospitals, integrating technology int...