Geriatrics

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

The type of host that a virus can infect, referred to as host specificity or tropism, influences inf...

Disruptive Engagements With Technologies, Robotics, and Caring: Advancing the Transactive Relationship Theory of Nursing.

Human caring, founded on a Japanese caring perspective and nursing theory, fosters innovative and cr...

[A humanoid robot used with elderly people suffering from cognitive disorders].

An experiment was carried out using a humanoid robot in a nursing home. The aim was to assess the be...

Robotic Pets: A Senior's Best Friend?

We are in the midst of a demographic phenomenon known as the graying of society. In more affluent co...

[Robotics in elderly care].

Usability evaluation of communication service robot for the elderly.

BACKGROUND: The Republic of Korea has become the most rapidly aging society and is anticipated to en...

Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (...

Nursing and Rehabilitative Care of the Elderly Using Humanoid Robots.

Japan's declining birth rate and increasing aging population prompted intercessory efforts towards r...

Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

In-patient care of the elderly is currently being put to the test in all developed industrial nation...

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Adoption of electronic medical records in hospitals generates a large amount of data. Health care pr...

Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's diseas...

Detecting Alzheimer's Disease from Continuous Speech Using Language Models.

BACKGROUND: Recently, many studies have been carried out to detect Alzheimer's disease (AD) from con...

[Expectation for AI (Artificial Intelligence) on elderly medical care].

[Expected Role of Artificial Intelligence for Geriatrics].

Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology.

Machine learning (ML) algorithms have found increasing utility in the medical imaging field and nume...

Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and imp...

Artificial Neural Networks Help to Better Understand the Interplay Between Cognition, Mediterranean Diet, and Physical Performance: Clues from TRELONG Study.

BACKGROUND: Nutrition plays an important role in the aging process. Adherence to the Mediterranean d...

Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.

BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates,...

Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine.

In this research work, machine learning techniques are used to classify magnetic resonance imaging b...

Alzheimer's Disease Classification Based on Multi-feature Fusion.

BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a poss...

Deep Learning for Alzheimer's Disease Classification using Texture Features.

BACKGROUND: We propose a classification method for Alzheimer's disease (AD) based on the texture of ...