Critical Care

Critical Care

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

7,452 articles

Subcategories: Sepsis

Showing 2878-2898 of 7,452 articles

A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.

Amyotrophic lateral sclerosis is a neurodegenerative disease of the upper and lower motor neurons re...

Jun 2020 PMID: 32575372

Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MA...

Jun 2020 PMID: 32556463

Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

BACKGROUND: The purpose of this review is to depict current research and impact of artificial intell...

Jun 2020 PMID: 32596403

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning.

Continual learning, a widespread ability in people and animals, aims to learn and acquire new knowle...

Jun 2020 PMID: 32535306

Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network Model.

This study proposes a novel multi-network architecture consisting of a multi-scale convolution neura...

Jun 2020 PMID: 32498374

Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.

Drug-drug interactions (DDIs) are crucial for public health and patient safety, which has aroused wi...

Jun 2020 PMID: 32497603

CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.

In this study, we developed a multi-scale Convolutional neural network based Automated hippocampal s...

May 2020 PMID: 32474081

Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.

BACKGROUND: Although dialysis patients are at a high risk of death, it is difficult for medical prac...

May 2020 PMID: 32469924

Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.

Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including...

May 2020 PMID: 32451808

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A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.

Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning.

Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network Model.

Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.

CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.

Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.

Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.

Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

Multi-channel lung sound classification with convolutional recurrent neural networks.

Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data.

Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.

Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data.

Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.

Multi-legged steering and slipping with low DoF hexapod robots.

Applications of artificial intelligence and machine learning in respiratory medicine.

3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction.

Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction.

DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images.

Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments.

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