Latest AI and machine learning research in critical care for healthcare professionals.
Empathic pain, defined as the emotional resonance with the suffering of others, is akin to the obser...
Increased monitoring of health-related data for ICU patients holds great potential for the early pre...
BACKGROUND: Clinical decision support systems (CDSS) have been identified to aid clinical decision-m...
Floods can severely impact the economy, environment and society. These impacts can be direct and ind...
Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...
BACKGROUND: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global healt...
Depression, a serious mood disorder, affects about 5% of the population. Currently, there are two gr...
BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been de...
As breath nitric oxide (NO) is a biomarker of respiratory inflammation, reliable techniques for the ...
. Humanity faces many health challenges, among which respiratory diseases are one of the leading cau...
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making t...
Membrane incompatibility poses significant health risks, including severe complications and potentia...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, ear...
BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long ti...
During winter months, there is increased pressure on health care systems in temperature climates due...
Mechanical ventilation is the process through which breathing support is provided to patients who fa...
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...
Multi-view learning aims on learning from the data represented by multiple distinct feature sets. Va...
OBJECTIVES: To develop a machine learning-based prediction model using clinical data from the first ...
Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects...