Latest AI and machine learning research in intensivists for healthcare professionals.
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critica...
Objective To study the effect of ulinastatin (UTI) on the hyper-permeability of human umbilical vein...
BACKGROUND: Recently, several trials have shown that closed-loop sedation is feasible. No study has ...
OBJECTIVES: Identifying subgroups of ICU patients with similar clinical needs and trajectories may p...
High-dimensional linear classifiers, such as distance weighted discrimination (DWD) and versions of ...
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU pati...
Reduction of preventable hospital readmissions that result from chronic or acute conditions like str...
BACKGROUND: Pulmonary aspiration during sedation is a major concern for sedation providers, making i...
OBJECTIVES: The purpose of this study is to describe whether tolerance develops in pediatric patient...
Aztreonam, a broad-spectrum monobactam, is typically reserved for multidrug resistant (MDR) infectio...
BACKGROUND: In critically ill patients, enteral feeding through the nasogastric tube is the method o...
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome ...
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after e...
OBJECTIVE: To explore the effect of prone position ventilation (PPV) on respiratory mechanics and pr...
OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and...
OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on...
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness ...