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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11301830

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Automated analysis of lung computed tomography (CT) scans may help characterize subphenotypes of acute respiratory illness. We integrated lung CT features measured via deep learning with clinical and laboratory data in spontaneously breathing subjects to enhance the identification of COVID-19 subphenotypes.
This is a multicenter observational co...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11301830

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11301830

Other Identifiers

ISSN

1364-8535,1466-609X

E-ISSN

1364-8535,1466-609X,1366-609X

DOI

10.1186/s13054-024-05046-3

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