Bloodstream infection (BSI) is defined by positive blood cultures in a patient with systemic
signs of infection and may be either secondary to a documented source or primary—that is …

Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …

Background Antibiotic use drives antibiotic resistance. Objectives To systematically review
the literature and estimate associations between prior exposure to antibiotics across World …

Animals have been identified as potential reservoirs and vectors of resistance genes, with
studies showing that Gram-negative bacteria can acquire resistance through the horizontal …

Few data are available on incidence of multidrug-resistant organism (MDRO) colonization
and infections in mechanically ventilated patients, particularly during the COVID-19 …

The increasing threat of antimicrobial resistance has prompted a need for more effective
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …

Background: Bloodstream infections (BSIs) constitute a growing public health concern, are
among the most severe nosocomial pathologies, and are considered a worldwide cause of …

Since artificial intelligence (AI) and, more specifically, machine learning have found their
way into medical research, expectation for these techniques to advance patient care has …

Objectives To assess the admission prevalence of third-generation cephalosporin-resistant
Enterobacterales (3GCREB) and to assess whether risk factors vary by β-lactamase …

Importance Proton-pump inhibitors (PPIs) have been associated with the risk of colonization
with drug-resistant bacteria; however, possible confounding by lifestyle-associated factors …