Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Transfer learning is a common solution to address cross-domain identification problems in Human Acti...
Bioluminescence tomography (BLT) has received a lot of attention as an important technique in bio-op...
In contrast to previous studies that focused on classical machine learning algorithms and hand-craft...
Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary ...
Robotic telesurgery systems, including master and slave robots, have emerged in recent years to prov...
There are approximately 13 million new stroke cases worldwide each year. Research has shown that rob...
Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Al...
Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical m...
The aim of this study was to design a new deep learning framework for end-to-end processing of polys...
Radiology reports include various types of clinical information that are used for patient care. Repo...
The development of artificial intelligence (AI) systems to support diagnostic decision-making is rap...
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the clas...
Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detaile...
Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...
Proprioception, the ability to sense body position and limb movements in space without visual feedba...
Individuals suffering from quadriplegia can achieve increased independence by using an assistive rob...
Shared-control for assistive devices can increase the independence of individuals with motor impairm...
Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical...
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...