Latest AI and machine learning research in risk management for healthcare professionals.
Quantitative studies of cellular morphodynamics rely on accurate cell segmentation in live cell imag...
INTRODUCTION: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine s...
A correct protocol assignment is critical to high-quality imaging examinations, and its automation c...
. In the theoretical framework of predictive coding and active inference, the brain can be viewed as...
Currently, software products for use in medicine are actively developed. Among them, the dominant sh...
Natural language processing (NLP) is a set of automated methods to organise and evaluate the informa...
The language assistance and learning sectors have currently undergone restructuring in the period of...
The prediction and optimization of pharmacokinetic properties are essential in lead optimization. Tr...
The power of wireless network sensor technologies has enabled the development of large-scale in-hous...
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing...
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing...
INTRODUCTION: In primary care, almost 75% of outpatient visits by family doctors and general practit...
Introduction: Intrahepatic cholestasis of pregnancy complicates 1% of pregnancies. It increases the ...
This paper presents the formation tracking problem for non-holonomic automated guided vehicles. Spec...
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis an...
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the immune ...
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obes...
Cancer survival prediction is typically done with uninterpretable machine learning techniques, e.g.,...
A radio communication sensor system is a collection of sensor modules that are connected to one anot...
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboe...
It was to explore the application value of health cloud service platform based on data mining algori...