Latest AI and machine learning research in critical care for healthcare professionals.
As a crucial class of chemical modifications, 2'-O-methylation modification (abbreviated as Nm) is w...
Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...
The development of novel materials for radioactive iodate adsorption is critical for nuclear waste m...
PURPOSE: To develop and validate a bedside machine learning (ML) decision support tool for predictio...
BACKGROUND: Research on LGBTQ+ parent families is evolving to include a growing range of family syst...
OBJECTIVE: Muscle wasting in critically ill patients, particularly those with prolonged hospitalizat...
Timely fire warnings are crucial for minimizing casualties during building fires. In this paper, a m...
Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for ...
Atrial fibrillation (AF) is a common arrhythmia linked to increased mortality and significant healt...
Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and ...
Recent advancements in computer vision and deep learning have advanced automated vegetation monitori...
In order to address the challenges posed by the large number of images acquired during wireless caps...
BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoact...
BACKGROUND: Patient-ventilator asynchronies (PVAs) are frequent complications in mechanically ventil...
Graph Neural Network (GNN) is a popular semi-supervised graph representation learning method, whose ...
In marine environments, the sources of organophosphate esters (OPEs), particularly emerging OPEs (eO...
The exponential growth of artificial intelligence and data-intensive applications has led to a signi...
Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocogni...
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...
In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-ta...
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominen...