Latest AI and machine learning research in intensivists for healthcare professionals.
We implemented an automated and efficient open-source software for the analysis of multi-site neuron...
The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic ma...
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...
Predicting the subcellular localization of proteins is an important and challenging problem. Traditi...
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As ...
Current machine learning techniques provide the opportunity to develop noninvasive and automated gli...
With the latest development in the design and fabrication of high-density Multi-Electrode Arrays (ME...
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU pati...
High-dimensional linear classifiers, such as distance weighted discrimination (DWD) and versions of ...
This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted fro...
Over the past two decades, there have seen an ever-increasing amount of patient safety reports yet t...
Automated identification provides an efficient way to categorize patient safety incidents. Previous ...
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...
BACKGROUND: Pulmonary aspiration during sedation is a major concern for sedation providers, making i...
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...
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome ...