Geriatrics

De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.

Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value t...

A Care Robot with Ethical Sensing System for Older Adults at Home.

Many studies have explored emotional and mental services that robots can provide for older adults, s...

A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study.

BACKGROUND: There is no simple model to screen for Alzheimer's disease, partly because the diagnosis...

Artificial intelligence for detection of Alzheimer's disease: demonstration of real-world value is required to bridge the translational gap.

Sam's Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT.

Limited angle reconstruction is a typical ill-posed problem in computed tomography (CT). Given incom...

Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.

. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease...

Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists.

BACKGROUND: As the number of conventional radiographic examinations in pediatric emergency departmen...

Multi-scopic neuro-cognitive adaptation for legged locomotion robots.

Dynamic locomotion is realized through a simultaneous integration of adaptability and optimality. Th...

A Novel Velocity-Based Control in a Sensor Space for Parallel Manipulators.

It is a challenging task to track objects moving along an unknown trajectory. Conventional model-bas...

Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses...

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

BACKGROUND: Age is the strongest risk factor for dementia and there is considerable interest in iden...

Predictive Models for Knee Pain in Middle-Aged and Elderly Individuals Based on Machine Learning Methods.

AIM: This study used machine learning methods to develop a prediction model for knee pain in middle-...

CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach.

Collagen is one of the most important structural proteins in biology, and its structural hierarchy p...

HMM-Based Action Recognition System for Elderly Healthcare by Colorizing Depth Map.

Addressing the problems facing the elderly, whether living independently or in managed care faciliti...

Self-supervised graph neural network with pre-training generative learning for recommendation systems.

The case assignment system is an essential system of case management and assignment within the procu...

Artificial intelligence (AI) for home support interventions in dementia: a scoping review protocol.

INTRODUCTION: Dementia has become one of the significant causes of disability and dependency among o...

Interpretable deep learning of myelin histopathology in age-related cognitive impairment.

Age-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbi...

Realizing the promise of AI: a new calling for cognitive science.

Rapid progress in artificial intelligence (AI) places a new spotlight on a long-standing question: h...

Multilevel development of cognitive abilities in an artificial neural network.

Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities t...

Predicting conversion to Alzheimer's disease in individuals with Mild Cognitive Impairment using clinically transferable features.

Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer's disease (AD). Ea...

How smart senior care can achieve value co-creation: Evidence from China.

With the rapid rise of artificial intelligence, smart senior care has become a new trend for future ...