Geriatrics

The perspectives of older adults with mild cognitive impairment and their caregivers on the use of socially assistive robots in healthcare: exploring factors that influence attitude in a pre-implementation stage.

BACKGROUND: Due to increasing age and an increasing prevalence rate of neurocognitive disorders such...

Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models.

Fuzzy-rough cognitive networks (FRCNs) are recurrent neural networks (RNNs) intended for structured ...

Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images.

OBJECTIVE: We propose a deep learning-based fully automatic right ventricle (RV) segmentation techni...

End-to-end deep learning for interior tomography with low-dose x-ray CT.

There are several x-ray computed tomography (CT) scanning strategies used to reduce radiation dose, ...

Confusion regarding the use of Natural Language Processing in ICU delirium assessment.

Multi-End Physics-Informed Deep Learning for Seismic Response Estimation.

As a structural health monitoring (SHM) system can hardly measure all the needed responses, estimati...

Natural language processing and detecting delirium.

MultiHeadGAN: A deep learning method for low contrast retinal pigment epithelium cell segmentation with fluorescent flatmount microscopy images.

BACKGROUND: Retinal pigment epithelium (RPE) aging is an important cause of vision loss. As RPE agin...

End-to-End Sentence-Level Multi-View Lipreading Architecture with Spatial Attention Module Integrated Multiple CNNs and Cascaded Local Self-Attention-CTC.

Concomitant with the recent advances in deep learning, automatic speech recognition and visual speec...

Deep learning-based brain age prediction in normal aging and dementia.

Brain aging is accompanied by patterns of functional and structural change. Alzheimer's disease (AD)...

Smart Memory Storage Solution and Elderly Oriented Smart Equipment Design under Deep Learning.

This study explores the memory characteristics of elderly individuals to design effective smart devi...

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...

End-to-End Residual Network for Light Field Reconstruction on Raw Images and View Image Stacks.

Light field (LF) technology has become a focus of great interest (due to its use in many application...

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Artificial intelligence (AI) can extract visual information from histopathological slides and yield ...

Deep learning and the future of the Model for End-Stage Liver Disease-sodium score.

Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

The development of simple and accurate methods to predict mutations in proteins remains an unsolved ...

Brain network connectivity feature extraction using deep learning for Alzheimer's disease classification.

Early diagnosis and therapeutic intervention for Alzheimer's disease (AD) is currently the only viab...

Collision Localization and Classification on the End-Effector of a Cable-Driven Manipulator Applied to EV Auto-Charging Based on DCNN-SVM.

With the increasing popularity of electric vehicles, cable-driven serial manipulators have been appl...

Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study.

Blood biomarkers for dementia have the potential to identify preclinical disease and improve partici...

Analysis of Psychological Changes and Intervention Mechanism of Elderly Groups Based on Deep Learning Analysis Technology.

The elderly group is a unique social phenomenon in China. This study analyzes the typology of psycho...

Cardiac auscultation predicts mortality in elderly patients admitted for COVID-19.

INTRODUCTION: COVID-19 has had a great impact on the elderly population. All admitted patients under...