Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Septic shock, known as the most severe complication of sepsis, is a serious medical condition that c...
Portacolone et al.'s Ethics Review highlights the ethical challenges associated with the implementat...
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the clas...
Correlation of pathology reports with radiology examinations has long been of interest to radiologis...
Automated and objective monitoring of eating behavior has received the attention of both the researc...
Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...
Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detaile...
Assistive robotic manipulators have the potential to support the lives of people suffering from seve...
Movement patterns are commonly disrupted after a neurological incident. The correction and recovery ...
Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical...
Shared-control for assistive devices can increase the independence of individuals with motor impairm...
Individuals suffering from quadriplegia can achieve increased independence by using an assistive rob...
Proprioception, the ability to sense body position and limb movements in space without visual feedba...
Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding on...
We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network....
MOTIVATION: In bioinformatics, machine learning-based methods that predict the compound-protein inte...
The type of host that a virus can infect, referred to as host specificity or tropism, influences inf...
BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a succe...