Latest AI and machine learning research in critical care for healthcare professionals.
Aztreonam, a broad-spectrum monobactam, is typically reserved for multidrug resistant (MDR) infectio...
OBJECTIVES: The purpose of this study is to describe whether tolerance develops in pediatric patient...
Patients with end-stage renal disease (ESRD) continue to increase in number worldwide, especially in...
We investigate the application of distributional semantics models for facilitating unsupervised extr...
Reduction of preventable hospital readmissions that result from chronic or acute conditions like str...
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in st...
Time-stretch imaging has been regarded as an attractive technique for high-throughput imaging flow c...
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome ...
BACKGROUND: Turbine-powered ventilators are not only designed for long-term ventilation at home but ...
A 76-year-old female, with medical history significant for systolic congestive heart failure, who pr...
BACKGROUND: Hypogonadism is common in patients with renal dysfunction and does not always correct fo...
BACKGROUND: In critically ill patients, enteral feeding through the nasogastric tube is the method o...
Multimodal classification methods using different modalities of imaging and non-imaging data have re...
The impact of flow rate and turbidity on the performance of multi-media filtration has been studied ...
This paper describes the design and characterization of a reconfigurable, multi-technique electroche...
Ventilator-associated pneumonia is a frequent complication in intensive care surgical patients, part...
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after e...
RATIONALE: Transitions to outpatient care are crucial after critical illness, but the documentation ...
In the clinical practice,the mechanical ventilation is a very important assisting method to improve ...
This study uses machine learning methods to distinguish between healthy and pathological gait. Examp...
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Fai...