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Subcategories: Sepsis

Showing 2689-2709 of 7,452 articles

Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma.

OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...

Jan 2021 PMID: 33475772

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head.

Image registration is a fundamental task in image analysis in which the transform that moves the coo...

Jan 2021 PMID: 33479305

Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.

OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes ...

Jan 2021 PMID: 33567379

Multi-functionalized micro-helical capsule robots with superior loading and releasing capabilities.

The functionalization of microrobots is essential for realizing their biomedical application in targ...

Jan 2021 PMID: 33469640

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis.

INTRODUCTION: Patients with sepsis who present to an emergency department (ED) have highly variable ...

Jan 2021 PMID: 33465096

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of Dece...

Jan 2021 PMID: 33550068

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imag...

Jan 2021 PMID: 33454412

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.

The aim of this study was to develop a predictive model of pediatric mortality in the early stages o...

Jan 2021 PMID: 33441845

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.

To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema...

Jan 2021 PMID: 33441578

Light microscopic iris classification using ensemble multi-class support vector machine.

Similar to other biometric systems such as fingerprint, face, DNA, iris classification could assist ...

Jan 2021 PMID: 33438285

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation.

Pathologic analysis of surgical excision specimens for breast carcinoma is important to evaluate the...

Jan 2021 PMID: 33485058

Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images.

This study was designed to develop and verify a fully automated cephalometry landmark identification...

Jan 2021 PMID: 33445758

Deep learning model for prediction of extended-spectrum beta-lactamase (ESBL) production in community-onset Enterobacteriaceae bacteraemia from a high ESBL prevalence multi-centre cohort.

Adequate empirical antimicrobial coverage is instrumental in clinical management of community-onset ...

Jan 2021 PMID: 33399979

Browse Categories

Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma.

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head.

Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.

Multi-functionalized micro-helical capsule robots with superior loading and releasing capabilities.

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis.

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.

Light microscopic iris classification using ensemble multi-class support vector machine.

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation.

Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images.

Machine learning and statistics to qualify environments through multi-traits in Coffea arabica.

Multi disease-prediction framework using hybrid deep learning: an optimal prediction model.

Multi-Domain Adversarial Feature Generalization for Person Re-Identification.

An artificial neural network based mathematical model for a stochastic health care facility location problem.

Interpreting a recurrent neural network's predictions of ICU mortality risk.

3D multi-scale deep convolutional neural networks for pulmonary nodule detection.

Multi-scale Attention Convolutional Neural Network for time series classification.

Evaluating the sustainability of big data centers using the analytic network process and fuzzy TOPSIS.

Deep learning model for prediction of extended-spectrum beta-lactamase (ESBL) production in community-onset Enterobacteriaceae bacteraemia from a high ESBL prevalence multi-centre cohort.

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