Latest AI and machine learning research in intensivists for healthcare professionals.
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU patients based on heart rate variability.
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthcare delivery in the United States. Patient readmission rates are relatively high for conditions like heart failure (HF) despite the implementation of h...
BACKGROUND: Pulmonary aspiration during sedation is a major concern for sedation providers, making identifying high-risk patients a priority. Gastric ...
OBJECTIVES: The purpose of this study is to describe whether tolerance develops in pediatric patients receiving chronic intermittent furosemide therap...
Aztreonam, a broad-spectrum monobactam, is typically reserved for multidrug resistant (MDR) infections. Pharmacokinetic (PK) data to guide dosing in c...
BACKGROUND: In critically ill patients, enteral feeding through the nasogastric tube is the method of choice for nutritional support. Gastrointestinal...
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the f...
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after evaluation of adrenal function in sepsis patients. ...
OBJECTIVE: To explore the effect of prone position ventilation (PPV) on respiratory mechanics and prognosis in patients with acute respiratory distres...
OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and to explore the correlation between "two-hit" and ...
OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on the occurrence of delirium in critically ill pati...
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunctio...
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classifi...