Latest AI and machine learning research in intensivists for healthcare professionals.
In recent years, machine learning methods have been rapidly adopted in the medical domain. However, ...
Soft robots are envisioned as the next generation of safe biomedical devices in minimally invasive p...
During evolution of the human hand, evolutionary morphology has been closely related to behavior in ...
Kinase plays a significant role in various disease signaling pathways. Due to the highly conserved s...
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods f...
In recent years, the machine learning research community has benefited tremendously from the availab...
Accurate medical image segmentation of brain tumors is necessary for the diagnosing, monitoring, and...
As urbanization increases across the globe, urban flooding is an ever-pressing concern. Urban fluvia...
The continuous deterioration of the environment due to extensive industrialization and urbanization ...
Identifying the binding between the target proteins and molecules is essential in drug discovery. Th...
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and CO...
In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing...
Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in ho...
Commonly used nested entity recognition methods are span-based entity recognition methods, which foc...
The development of activity recognition based on multi-modal data makes it possible to reduce human ...
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathoge...
The stock market is an important part of the capital market, and the research on the price fluctuati...
Fibronectin (FN) plays an essential role in the host's response to infection. In previous studies, a...
Machine learning can predict outcomes and determine variables contributing to precise prediction, an...
Investigating neural mechanisms of anesthesia process and developing efficient anesthetized state de...