Critical Care

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

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Subcategories: Sepsis
Showing 3067-3087 of 5,066 articles
Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

Dec 2021 35261665
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks.

Large annotated lung sound databases are publicly available and might be used to train algorithms fo...

Nov 2021 34891244
Detecting Uncertainty of Mortality Prediction Using Confident Learning.

Early mortality prediction is an actively researched problem that has led to the development of vari...

Nov 2021 34891618
A Machine Learning Understanding of Sepsis.

Sepsis is a serious cause of morbidity and mortality and yet its pathophysiology remains elusive. Re...

Nov 2021 34891719
Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning.

Pancreatic surgery is associated with a high risk for postoperative complications and death of patie...

Nov 2021 34891726
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

The increasing availability of electronic health records and administrative data and the adoption of...

Nov 2021 34891780
An Interpretable Intensive Care Unit Mortality Risk Calculator.

Mortality risk is a major concern to patients who have just been discharged from the intensive care ...

Nov 2021 34892140
Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common wa...

(3)
Nov 2021 34892274
Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions.

PURPOSE OF REVIEW: Patients, surrogate decision makers, and clinicians face weighty and urgent decis...

Oct 2021 34267077
Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.

The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting ...

Jul 2021 33839767
Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults.

BACKGROUND: Sepsis is a life-threatening condition with high mortality rates. Early detection and tr...

Jul 2021 32991797
Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils.

Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing variou...

Jul 2021 34305101
Towards real-time diagnosis for pediatric sepsis using graph neural network and ensemble methods.

OBJECTIVE: The rapid onset of pediatric sepsis and the short optimal time for resuscitation pose a s...

Jul 2021 34337717
Predicting ventilator-associated pneumonia with machine learning.

Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive...

(1)
Jun 2021 34115013
MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs.

The long non-coding RNAs (lncRNAs) are subject of intensive recent studies due to its association wi...

(3)
May 2021 32520339
Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can re...

(1)
May 2021 34106618
[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...

Apr 2021 33976061
A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.

Fine crackles are frequently heard in patients with interstitial lung diseases (ILDs) and are known ...

Feb 2021 33607819
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of po...

Jan 2021 33455913
Natural Language Processing Performance for the Identification of Venous Thromboembolism in an Integrated Healthcare System.

Real-time identification of venous thromboembolism (VTE), defined as deep vein thrombosis (DVT) and ...

Jan 2021 33906470
High-Throughput Image Analysis of Lipid-Droplet-Bound Mitochondria.

Changes to mitochondrial architecture are associated with various adaptive and pathogenic processes....

Jan 2021 34060050
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