Latest AI and machine learning research in sepsis for healthcare professionals.
BACKGROUND: Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstrea...
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging c...
 Natural language processing (NLP), a subset of artificial intelligence (AI), aims to decipher unst...
BACKGROUND: Current classification for acute kidney injury (AKI) in critically ill patients with sep...
This column on translating research into practice is crafted to offer advanced practice registered n...
BACKGROUND: Emergence of antibiotic resistance in bacteria is an important threat to global health. ...
BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by inf...
This study was conducted to determine the safety and efficacy of acute central venous catheters (CVC...
PURPOSE: This study investigates the potential of machine learning (ML) algorithms in improving seps...
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce...
INTRODUCTION: In response to continued public health emergency of antimicrobial resistance (AMR), a ...
BACKGROUND: Respiratory syncytial virus (RSV) poses a substantial threat to infants, often leading t...
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is ...
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine...
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors ...
UNLABELLED: Global challenges presented by multidrug-resistant infections have stimulated the devel...
Antibiotic resistance (AR) is considered one of the greatest global threats in the current century, ...
Infection post-hematopoietic stem cell transplantation (HSCT) is one of the main causes of patient m...
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric in...
In the contemporary era, the applications of data mining and machine learning have permeated extensi...
Livestock manure is one of the most important pools of antibiotic resistance genes (ARGs) in the env...