Critical Care

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

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Subcategories: Sepsis
Showing 3130-3150 of 7,460 articles
Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.

Integration of multi-omics in cardiovascular diseases (CVDs) presents high potentials for translatio...

A multi-task convolutional deep neural network for variant calling in single molecule sequencing.

The accurate identification of DNA sequence variants is an important, but challenging task in genomi...

Classifying Biomedical Figures by Modality via Multi-Label Learning.

The figures found in biomedical literature are a vital part of biomedical research, education, and c...

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing pr...

Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks.

Acquiring images of the same anatomy with multiple different contrasts increases the diversity of di...

Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology.

OBJECTIVE: Obstructive sleep-disordered breathing (SDB) events, unlike central events, are associate...

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...

Noninvasive prediction of Blood Lactate through a machine learning-based approach.

We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, ...

Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning.

Gesture recognition using sparse multichannel surface electromyography (sEMG) is a challenging probl...

An attention based deep learning model of clinical events in the intensive care unit.

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...

Hyperoncotic Albumin Reduces Net Fluid Loss Associated With Hemodialysis.

The purpose of this study was to compare the volume of fluid removal associated with and without 25...

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.

High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative prognosis ...

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of ...

Walking Imagery Evaluation in Brain Computer Interfaces via a Multi-View Multi-Level Deep Polynomial Network.

Brain-computer interfaces based on motor imagery (MI) have been widely used to support the rehabilit...

Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

This paper presents a novel method for hierarchical analysis of machine learning algorithms to impro...

A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction.

With the continuous accumulation of biological data, more and more machine learning algorithms have ...

LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images.

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. K...

Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.

Multi-modality examinations have been extensively applied in current clinical cancer management. Lev...

Gallic Acid Potentiates the Antimicrobial Activity of Tulathromycin Against Two Key Bovine Respiratory Disease (BRD) Causing-Pathogens.

Bovine respiratory disease (BRD) is the most common infectious disease in dairy and beef cattle. It ...

Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.

Automated tissue classification is an essential step for quantitative analysis and treatment of emph...

Prediction of sepsis patients using machine learning approach: A meta-analysis.

STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and...

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