Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Evolution of gait rehabilitation robotic devices for stroke survivors has aimed at providing transpa...
Protein structure prediction and design can be regarded as two inverse processes governed by the sam...
Semi-supervised learning has largely alleviated the strong demand for large amount of annotations in...
Optimal feedback control is an established framework that is used to characterize human movement. Ho...
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intrav...
Infections with pathogenic bacteria entering the mammary gland through the teat canal are the most c...
Accurate lesion segmentation based on endoscopy images is a fundamental task for the automated diagn...
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...
Computational methods to predict molecular properties regarding safety and toxicology represent alte...
Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serio...
Given the excessive foul language identified in audio and video files and the detrimental consequenc...
Person re-identification is a crucial task of identifying pedestrians of interest across multiple su...
Although convolutional neural networks (CNNs) demonstrate the superior performance in denoising posi...
Many deep learning (DL)-based image restoration methods for low-dose CT (LDCT) problems directly emp...
Artificial intelligence can facilitate clinical decision making by considering massive amounts of me...
Digital tissue image analysis is a computational method for analyzing whole-slide images and extract...
In recent years, several researchers and practitioners applied machine learning algorithms in the da...
Deafferentation and weight offloading can increase brain and spinal motor neuron excitability, respe...
In this study, we propose a deep-learning network model called the deep multi-kernel auto-encoder cl...
Helical CT has been widely used in clinical diagnosis. In this work, we focus on a new prototype of ...
Biomedical event extraction plays an important role in the extraction of biological information from...