Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
BACKGROUND: Fluid volume and blood pressure (BP) management are crucial endpoints for end-stage kidn...
In distributed speech recognition applications, the front-end device that stands for any handheld el...
There have been tremendous advances in artificial intelligence (AI) and machine learning (ML) within...
In this work, we propose a novel model-based deep convolutional autoencoder that addresses the highl...
BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play...
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham pr...
The identification of compounds for dissecting biological functions and the development of novel dru...
In the age of ever increasing data, faster and more efficient data processing algorithms are needed....
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that ...
Chemical-chemical interaction (CCI) plays a major role in predicting candidate drugs, toxicities, th...
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however...
The urine sediment analysis of particles in microscopic images can assist physicians in evaluating p...
Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...
The level set based deformable models (LDM) are commonly used for medical image segmentation. Howeve...
With the increasing imaging and processing capabilities of today's mobile devices, user authenticati...
To know the impact of processing parameters of PA6G under different humidity conditions is important...
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subje...
BACKGROUND AND OBJECTIVE: In this paper we propose a new approach for detecting the end of the T-wav...
BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies f...