Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Subcategories: Sepsis
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[Expert systems-urgently needed for early diagnosis of sepsis : Results of retrospective clinical validation of the expert system FLORIDA].

The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is e...

Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM...

Predicted airway obstruction distribution based on dynamical lung ventilation data: A coupled modeling-machine learning methodology.

In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can b...

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.

Multi-domain biological network association and clustering have attracted a lot of attention in biol...

Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint.

This paper investigates the distributed differential game tracking problem for nonlinear multi-agent...

Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, ...

Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering.

To describe the cellular functions of proteins and genes, a potential dynamic vocabulary is Gene Ont...

Intradialytic alkalinization is a neglected factor affecting calcium mass balance and parathyroid hormone level during haemodiafiltration.

BACKGROUND: The diffusion gradient between ionized calcium (iCa) in the inlet dialysate and blood is...

Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm.

Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...

Adaptive multinomial regression with overlapping groups for multi-class classification of lung cancer.

Multi-class classification has attracted much attention in cancer diagnosis and treatment and many m...

Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.

OBJECTIVE: The objective of this study was to assess the contribution of multi-parametric (mp) magne...

Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network.

In magnetic resonance imaging (MRI), the acquired images are usually not of high enough resolution d...

A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-...

Predicting human protein function with multi-task deep neural networks.

Machine learning methods for protein function prediction are urgently needed, especially now that a ...

Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks.

Environmental sustainability research is dependent on accurate land cover information. Even with the...

Characterizing the SEMG patterns with myofascial pain using a multi-scale wavelet model through machine learning approaches.

In this paper, we introduce a newly developed multi-scale wavelet model for the interpretation of su...

Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension,...

Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.

Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respir...

Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.

Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluatio...

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic re...

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