Latest AI and machine learning research in critical care for healthcare professionals.
Objective To compare the performance of five machine learning models and SAPS II score in predicting...
Nowadays, the complexity of disease mechanisms and the inadequacy of single-target therapies in rest...
Nuclear receptors (NRs) are ligand-activated transcription factors, which constitute one of the most...
Protein S-sulfinylation is an important posttranslational modification that regulates a variety of c...
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies...
In three recent and related publications, researchers from Johns Hopkins University and Bayesian Hea...
BACKGROUND: Accurate detection is essential for brain metastasis (BM) management, but manual identif...
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performe...
ST segment morphology is closely related to cardiovascular disease. It is used not only for characte...
The purpose of this paper was to develop a novel triangular fuzzy method for multi-attribute decisio...
BACKGROUND: Patients in the intensive care unit (ICU) are often in critical condition and have a hig...
Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the ...
Medical Dialogue Information Extraction (MDIE) is a promising task for modern medical care systems, ...
Existing hyperspectral image (HSI) super-resolution methods fusing a high-resolution RGB image (HR-R...
Most proteins in nature contain multiple folding units (or domains). The revolutionary success of Al...
In this study, a patient in the Intensive Care-Unit received robot-based mobilization therapy with a...
Automatic diagnosis of eye diseases from retinal fundus images is quite challenging. Common public d...
This paper evaluates a range of deep learning frameworks for detecting respiratory anomalies from in...
Ambulatory respiration signal extraction system is required to maintain continuous surveillance of a...
Domain adaptation has become an important topic because the trained neural networks from the source ...
Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems....