Article

Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 Pneumonia

2020-04-22

Abstract excerpt

<h4>ABSTRACT</h4> Improving screening, discovering therapies, developing a vaccine and performing staging and prognosis are decisive steps in addressing the COVID-19 pandemic. Staging and prognosis are especially crucial for organizational anticipation (intensive-care bed availability, patient management planning) and accelerating drug development; through rapid, reproducible and quantified response-to-treatment a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 04c55685-a157-534c-b670-af288ce193f7
DOI: 10.1101/2020.04.17.20069187

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 PneumoniaDOI 10.1101/2020.04.17.20069187Read

An End-to-End Integrated Clinical and CT Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multi-Site Retrospective StudySemantic proximity Read

Treatment Intensity Stratification in COVID-19 by Fully Automated Analysis of Pulmonary and Cardiovascular Metrics on Initial Chest CT using Deep LearningSemantic proximity Read

From Voxels to Prognosis: AI-Driven Quantitative Chest CT Analysis Forecasts ICU Requirements in 78 COVID-19 CasesSemantic proximity Read

Prediction of COVID-19 Diagnosis from Healthy and Pneumonia CT scans using Convolutional Neural NetworksSemantic proximity Read

COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSemantic proximity Read

Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity Read

Phenotyping COVID-19 respiratory failure in spontaneously breathing patients with AI on lung CT-scan.Semantic proximity Read

COVLIAS 3.0 XEDL : Multicentre, Cloud-Based, Explainable Ensemble Artificial Intelligence Deep Learning System for COVID- 19 in Computed Tomography ScansSemantic proximity Read

Quantitative Chest Computed Tomography and Machine Learning for Subphenotyping Small Airways Disease in Long COVID.Semantic proximity Read

Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergencySemantic proximity Read

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CTSemantic proximity Read

COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-RaysSemantic proximity Read