Critical Care

Critical Care

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

5,099 articles

Subcategories: Sepsis

Showing 2815-2835 of 5,099 articles

Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records.

OBJECTIVE: We aimed to develop a data-driven machine learning model for predicting critical deterior...

Jun 2022 35673099

Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.

BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis...

Mar 2022 34508027

Enhancing sepsis management through machine learning techniques: A review.

Sepsis is a major public health problem and a leading cause of death in the world, where delay in th...

Mar 2022 35221003

Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-...

Feb 2022 34904659

circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

Circular RNAs (circRNAs) generally bind to RNA-binding proteins (RBPs) to play an important role in ...

Jan 2022 34571539

A roadmap for multi-omics data integration using deep learning.

High-throughput next-generation sequencing now makes it possible to generate a vast amount of multi-...

Jan 2022 34791014

An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.

BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses calle...

Jan 2022 33438544

Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...

Jan 2022 34932043

Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal.

Automated analysis of the blood oxygen saturation (SpO) signal from nocturnal oximetry has shown use...

Jan 2022 36217089

[Predicting prolonged length of intensive care unit stay machine learning].

OBJECTIVE: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU...

Dec 2021 34916699

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...

Dec 2021 34889225

Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging.

OBJECTIVES: Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blu...

Dec 2021 34038064

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Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records.

Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.

Enhancing sepsis management through machine learning techniques: A review.

Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

A roadmap for multi-omics data integration using deep learning.

An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.

Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal.

[Predicting prolonged length of intensive care unit stay machine learning].

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging.

Vitamin D and COVID-19 - Let's Explore the Relationship!

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks.

Detecting Uncertainty of Mortality Prediction Using Confident Learning.

A Machine Learning Understanding of Sepsis.

Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning.

Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

Surgical instrument segmentation based on multi-scale and multi-level feature network.

An Interpretable Intensive Care Unit Mortality Risk Calculator.

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

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