The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …

Over the last years, there have been advances in the use of data-driven techniques to
improve the definition, early recognition, subtypes characterisation, prognostication and …

Background: The quick Sequential Organ Failure Assessment (qSOFA) has been proposed
for prediction of mortality in patients with suspected infection. Purpose: To summarize and …

Background The usefulness of the quick Sequential (Sepsis-related) Organ Failure
Assessment (qSOFA) score in providing bedside criteria for early prediction of poor …

Many studies have been published on a variety of clinical applications of artificial
intelligence (AI) for sepsis, while there is no overview of the literature. The aim of this review …

Objective To identify sensitivity, specificity and predictive accuracy of quick sequential organ
failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) …

Study objective Debate exists about the mortality benefit of administering antibiotics within
either 1 or 3 hours of sepsis onset. We performed this meta-analysis to analyze the effect of …

Sample size is a key factor in bioequivalence and clinical trials. An appropriately large
sample is necessary to gain valuable insights into a designated population. However, large …

Background Sepsis is a major cause of morbidity and mortality worldwide. Early recognition
and treatment of sepsis is associated with improved outcome. The emergency department …

Background: To determine the validity of the Quick Sepsis-Related Organ Failure
Assessment (qSOFA) in the prediction of outcome (in-hospital and 1-month mortality …