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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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Addressing the Ethics of Telepresence Applications Through End-User Engagement.

Portacolone et al.'s Ethics Review highlights the ethical challenges associated with the implementat...

[Heartbeat-based end-to-end classification of arrhythmias].

OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the clas...

Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence Methods.

Correlation of pathology reports with radiology examinations has long been of interest to radiologis...

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.

Automated and objective monitoring of eating behavior has received the attention of both the researc...

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...

An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging.

Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detaile...

Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface.

Assistive robotic manipulators have the potential to support the lives of people suffering from seve...

Indirect Robotic Movement Shaping through Motor Cost Influence.

Movement patterns are commonly disrupted after a neurological incident. The correction and recovery ...

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical...

Interface Operation and Implications for Shared-Control Assistive Robots.

Shared-control for assistive devices can increase the independence of individuals with motor impairm...

Semi-Autonomous Tongue Control of an Assistive Robotic Arm for Individuals with Quadriplegia.

Individuals suffering from quadriplegia can achieve increased independence by using an assistive rob...

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...

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...

[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....

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...

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...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a succe...

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