Latest AI and machine learning research in ethics for healthcare professionals.
UNLABELLED: The aim of this study was to compare the antioxidant potential of the yogurt and kefir p...
Conventional respiration measurement requires a separate device and/or can cause discomfort, so it i...
In recent years, there has been a surge of high-profile publications on applications of artificial i...
Non-Markovian models of stochastic biochemical kinetics often incorporate explicit time delays to ef...
Convolutional neural networks have established themselves over the past years as the state of the ar...
Conjunctival provocation test (CPT) is used to demonstrate clinical relevance to a specific allerge...
The unique physical embodiment of robots enables physical contact between machines and humans. Since...
Contamination is a critical issue that affects food consumption adversely. Therefore, efficient dete...
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated de...
Sensor technologies and data collection practices are changing and improving quality metrics across...
To evaluate the performance of the classic machine learning algorithms and the effectiveness of vari...
PURPOSE: To determine classification criteria for intermediate uveitis, non-pars planitis type (IU-N...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
In this study, we conducted a citation network analysis of the to elucidate the scope, evolution, a...
Brain extraction (a.k.a. skull stripping) is a fundamental step in the neuroimaging pipeline as it c...
Consumption of copper and aluminum has increased significantly in recent years; therefore, recycling...
PURPOSE: To explore a new approach mainly based on deep learning residual network (ResNet) to detect...
A statistical framework for non-negative matrix factorization based on generalized dual Kullback-Lei...
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs...
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human ...
OBJECTIVE: To construct a deep-learning convolution neural network (DL-CNN) system for the different...