Geriatrics

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

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Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

Proprioception, the ability to sense body position and limb movements in space without visual feedba...

Transfer learning on T1-weighted images for brain age estimation.

Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has become the ...

Quantifying upper extremity performance with and without assistance of a soft-robotic glove in elderly patients: A kinematic analysis.

OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement...

Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.

Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. ...

gazeNet: End-to-end eye-movement event detection with deep neural networks.

Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding on...

The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease.

A crucial quest in neuroimaging is the discovery of image features (biomarkers) associated with neur...

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Alzheimer's disease (AD) is characterized by gradual neurodegeneration and loss of brain function, e...

[A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning].

Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating sc...

[Effects of long non-coding RNA RP1-90L14.1 on the biological behaviors of cancer prostate LNCaP cells and its regulating mechanisms].

OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migra...

[Palm vein recognition based on end-to-end convolutional neural network].

We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network....

Deep convolutional network for animal sound classification and source attribution using dual audio recordings.

This paper introduces an end-to-end feedforward convolutional neural network that is able to reliabl...

Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.

MOTIVATION: In bioinformatics, machine learning-based methods that predict the compound-protein inte...

Comparative Study of the Effects of Chamomile ( L.) and Cabergoline on Idiopathic Hyperprolactinemia: A Pilot Randomized Controlled Trial.

Chamomile is a fascinating plant quoted in several traditional medicine texts, which has broad-spect...

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 ...

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...

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...

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...

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