Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 2731-2751 of 7,277 articles
Combining entity co-occurrence with specialized word embeddings to measure entity relation in Alzheimer's disease.

BACKGROUND: Extracting useful information from biomedical literature plays an important role in the ...

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound.

OBJECTIVE: In this work we address limitations in state-of-the-art ultrasound robots by designing an...

Impacts of robot implementation on care personnel and clients in elderly-care institutions.

BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. The...

Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic...

Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.

Medical prediction is always collectively determined based on bioimages collected from different sou...

How people with dementia perceive a therapeutic robot called PARO in relation to their pain and mood: A qualitative study.

BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve...

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...

A Deep Learning-Based End-to-End Composite System for Hand Detection and Gesture Recognition.

Recent research on hand detection and gesture recognition has attracted increasing interest due to i...

Effectiveness of Intervention Based on End-effector Gait Trainer in Older Patients With Stroke: A Systematic Review.

OBJECTIVE: The objective of the article is to analyze the effects of the end-effector technology for...

Information Content of Prefrontal Cortex Activity Quantifies the Difficulty of Narrated Stories.

The ability to realize the individuals' impressions during the verbal communication allows social ro...

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.

Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a resear...

Synthetic review of financial capacity in cognitive disorders: Foundations, interventions, and innovations.

PURPOSE OF REVIEW: Financial capacity (FC) is a complex, multi-dimensional construct that changes ov...

A dual-stream deep convolutional network for reducing metal streak artifacts in CT images.

Machine learning and deep learning are rapidly finding applications in the medical imaging field. In...

Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease.

PURPOSE: Although functional brain imaging has been used for the early and objective assessment of c...

Deep biomarkers of aging and longevity: from research to applications.

Multiple recent advances in machine learning enabled computer systems to exceed human performance in...

The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this st...

MedGAN: Medical image translation using GANs.

Image-to-image translation is considered a new frontier in the field of medical image analysis, with...

A general end-to-end diagnosis framework for manufacturing systems.

The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based tec...

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