Sepsis remains a major challenge internationally for healthcare systems. Its incidence is
rising due to poor public awareness and delays in its recognition and subsequent …

Artificial intelligence is a field within computer science that aims to allow computers and
algorithms to perform cognitive tasks similar to humans by learning and recognising patterns …

Background Early prediction model of hemodynamic instability has the potential to improve
the critical care, whereas limited external validation on the generalizability. We aimed to …

OBJECTIVES: To predict impending delirium in ICU patients using recurrent deep learning.
DESIGN: Retrospective cohort study. SETTING: Fifteen medical-surgical ICUs across …

Machine learning and cluster analysis applied to the clinical setting of an intensive care unit
can be a valuable aid for clinical management, especially with the increasing complexity of …

Background Teicoplanin has been widely used in patients with infections caused by
Staphylococcus aureus, especially for critically ill patients. The pharmacokinetics (PK) of …

After fluid status optimization, norepinephrine infusion represents the cornerstone of septic
shock treatment. De-escalation of vasopressors should be considered with caution, as …

Intraoperative hypotension is common and has been associated with adverse events,
including acute kidney failure, myocardial infarction, and stroke. Since blood pressure is a …

The noise of the Intensive Care Unit (ICU) equipment, the high mortality rate, the instability of
other patients' conditions, and limited information increase ICU patient anxiety. Anxiety has …

As anesthesiologists, we take care of patients in a variety of clinical settings. At each patient
touch point, we intervene with therapeutics to realize a clinical response that prevents a poor …