Latest AI and machine learning research in critical care for healthcare professionals.
The purpose of the study was to investigate gender features of abnormalities of blood serum lipid co...
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...
RATIONALE: Thrombosis due to anastomotic site stenosis is the most common complication in patients w...
Objective To construct a phage display library of specific nano-antibodies against the Middle East r...
OBJECTIVES: To determine the possible association of serum 25-hydroxyvitamin D (25OHD) levels with d...
Utilization of intraoperative autotransfusion (IAT) during cardiac surgery with cardiopulmonary bypa...
Changes in dietary patterns may partly explain the epidemic of asthma in industrialized countries. T...
A 73-year-old man, receiving maintenance continuous ambulatory peritoneal dialysis(CAPD)was admitted...
BACKGROUND: Patients with squamous cell carcinoma (SqCC) of the lung sometimes have a comorbid pulmo...
Matching people across nonoverlapping cameras, also known as person re-identification, is an importa...
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 ...