Critical Care

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

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Showing 3172-3192 of 7,460 articles
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

Positron emission tomography (PET) has been substantially used recently. To minimize the potential h...

A Unique Case of Severe Anemia Secondary to Copper Deficiency in an Adult Patient.

Anemia is a frequently encountered problem in the healthcare system. Common causes of anemia include...

Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a ...

Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

The conciliation of multiple single-disease guidelines for comorbid patients entails solving potenti...

Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units.

Unplanned extubation (UE) can be associated with fatal outcome; however, an accurate model for predi...

Machine learning in critical care: state-of-the-art and a sepsis case study.

BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life s...

Vitamin D in the ICU: More sun for critically ill adult patients?

Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin...

Multi-sequence myocardium segmentation with cross-constrained shape and neural network-based initialization.

For myocardial infarction (MI) patients, delayed enhancement (DE) and T2-weighted cardiovascular mag...

Optimal intensive care outcome prediction over time using machine learning.

BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the inte...

Non-directed bronchial lavage is a safe method for sampling the respiratory tract in critically ill patient.

Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomark...

Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.

We propose to discriminate the pathological grades directly on digital mammograms instead of patholo...

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. ...

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.

As the collection of mobile health data becomes pervasive, missing data can make large portions of d...

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.

Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosi...

Automatic brain labeling via multi-atlas guided fully convolutional networks.

Multi-atlas-based methods are commonly used for MR brain image labeling, which alleviates the burden...

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.

Recently, dense connections have attracted substantial attention in computer vision because they fac...

Monitoring changes in distribution of pulmonary ventilation by functional electrical impedance tomography in anaesthetized ponies.

OBJECTIVE: To assess changes in the distribution in pulmonary ventilation in anaesthetized ponies us...

Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of Concept.

BACKGROUND: Modern clinical environments are laden with technology devices continuously gathering ph...

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, b...

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