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Quantification of pulmonary opacities using artificial intelligence in chest CT scans during SARS-CoV-2 pandemic: validation and prognostic assessment

Crossref DOI link: https://doi.org/10.1186/s43055-023-01105-x

Published Online: 2023-09-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Montoro, Fernando Sánchez http://orcid.org/0000-0001-6324-3892
Gordo, María Luz Parra

Tascón, Áurea Díez

de Gracia, Milagros Martí

Velez, Silvia Ossaba

Fernández, Susana Fernández

Vallano, Rebeca Gil

Acosta Velásquez, Kevin Stephen
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Text and Data Mining valid from 2023-09-14

Version of Record valid from 2023-09-14
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Article History

Received: 27 May 2023

Accepted: 5 September 2023

First Online: 14 September 2023

Declarations

:

: The study was approved by the ethical committee of our hospital, which had established that it was not necessary to obtain informed consent as our study did not have an interventionist design. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

: Not applicable. There are no individual person’s data provided in this manuscript, and images from CT scans are anonymized, so it is not necessary.

: The authors have no relevant financial or non-financial interests to disclose.

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