Geriatrics

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

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Showing 3319-3339 of 7,296 articles
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Al...

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Decision-making systems trained on structural magnetic resonance imaging data of subjects affected b...

Manifold regularized multitask feature learning for multimodality disease classification.

Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD...

End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.

The goal of this paper is to perform end-point impedance measurements across dominant and nondominan...

Mobile locally operated detachable end-effector manipulator for endoscopic surgery.

PURPOSE: Local surgery is safer than remote surgery because emergencies can be more easily addressed...

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

Activity recognition of an elderly person can be used to provide information and intelligent service...

Classifier calibration using splined empirical probabilities in clinical risk prediction.

The aims of supervised machine learning (ML) applications fall into three broad categories: classifi...

The Attitudes and Perceptions of Older Adults With Mild Cognitive Impairment Toward an Assistive Robot.

The purpose of this study was to explore perceived difficulties and needs of older adults with mild ...

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...

Review on design and control aspects of ankle rehabilitation robots.

Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation t...

Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer's disease diagnosis and biomarker identification.

The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimagi...

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.

Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and t...

Transcriptome analysis and machine learning methods reveal potential mechanisms of zebrafish muscle aging.

Muscle is one of the most abundant tissues in the human body, and its aging usually leads to many ad...

FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation.

Subgraph federated learning (subgraph-FL) is a distributed machine learning paradigm enabling cross-...

Machinability and ANN based prediction of surface roughness for TiAlN and PCD coated end mill cutters on AA6061 hybrid composite.

This research is conducted to evaluate the impact of TiAlN and polycrystalline diamond coated (PCD) ...

Assessment of pulse wave velocity through weighted visibility graph metrics from photoplethysmographic signals.

Pulse Wave Velocity (PWV) is a widely recognized non-invasive biomarker of arterial stiffness and an...

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

Muscle function and composition are important indicators of age-related health. However, current ass...

Emerging blood biomarkers in Alzheimer's disease: a proteomic perspective.

Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...

The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhal...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

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