Latest AI and machine learning research in surveys for healthcare professionals.
INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis ...
We consider the problem of conditional independence testing: given a response and covariates , we t...
Surgical workflow recognition is a fundamental task in computer-assisted surgery and a key component...
Smartwatches have the potential to support health care in everyday life by supporting self-monitorin...
The shallow neural network (SNN) is a popular algorithm in atmospheric parameters retrieval from mic...
This study set out to investigate various deep learning frameworks for PET attenuation correction in...
New Approach Methodologies (NAMs) that employ artificial intelligence (AI) for predicting adverse ef...
Neural networks (NNs) are effective machine learning models that require significant hardware and en...
An adequate imputation of missing data would significantly preserve the statistical power and avoid ...
The interest on graph matching has not stopped growing since the late seventies. The basic idea of g...
Deep learning algorithms for left ventricle (LV) segmentation are prone to bias towards the training...
In order to understand their impacts on the preservation of fresh garlic, varying concentrations of ...
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of ferti...
BACKGROUND: Robotic assistance has become established in surgery but is not yet a standard procedure...
Mining ubiquitous sensing data is important but also challenging, due to many factors, such as heter...
The occupational profiling system driven by the traditional survey method has some shortcomings such...
Representational similarity analysis (RSA) summarizes activity patterns for a set of experimental co...
Research in artificial intelligence for radiology and radiotherapy has recently become increasingly ...
In industries that implement the technology of induction soldering, various sensors, including non-c...
This study aimed to produce a novel deep learning (DL) model for the classification of subjects with...
The field of soft robotics has attracted the interest of the medical community due to the ability of...