Latest AI and machine learning research in critical care for healthcare professionals.
Fungi produce several bioactive metabolites, pigments, dyes, antioxidants, polysaccharides, and indu...
A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parall...
Concomitant with the recent advances in deep learning, automatic speech recognition and visual speec...
OBJECTIVE: To analyze the critical alarms predictors of clinical deterioration/sepsis for clinical d...
BACKGROUND: The high volume of research focusing on extracting patient information from electronic h...
Cervical vertebral landmark detection is a significant pre-task for vertebral relative motion parame...
This paper proposes a dual-channel network of a sustainable Closed-Loop Supply Chain (CLSC) for rice...
Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative...
OBJECTIVE: Based on the respiratory disease big data platform in southern Xinjiang, we established a...
Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What ...
Magnetic tunnel junctions (MTJ) have been successfully applied in various sensing application and di...
The recent release of large-scale healthcare datasets has greatly propelled the research of data-dri...
Respiratory motion is one of the main sources of motion artifacts in positron emission tomography (P...
The outbreak of COVID-19 threatens the lives and property safety of countless people and brings a tr...
A key characteristic of biological systems is the ability to update the memory by learning new knowl...
BACKGROUND: Delays in admitting high-risk emergency surgery patients to the intensive care unit resu...
With humanity entering the age of intelligence, text detection technology has been gradually applied...
Accurate measurement of brain structures is essential for the evaluation of neonatal brain growth an...
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method...
BACKGROUND: Dynamic prediction of patient mortality risk in the ICU with time series data is limited...
In this paper, we propose a context-aware multi-scale aggregation network named CMSNet for dense cro...