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Prognostic value of the extent of affected lung parenchyma in COVID-19 pneumonia patients: Visual estimation versus automatic quantification by artificial intelligence

Crossref DOI link: https://doi.org/10.1016/j.rxeng.2025.101612

Published Print: 2025-09

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Soriano Aguadero, I.

Ezponda Casajús, A.

Paternain Nuin, A.

Vidorreta, M.

Bastarrika Alemañ, G.
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Text and Data Mining valid from 2025-09-01

Text and Data Mining valid from 2025-09-01
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This article is maintained by: Elsevier

Article Title: Prognostic value of the extent of affected lung parenchyma in COVID-19 pneumonia patients: Visual estimation versus automatic quantification by artificial intelligence

Journal Title: Radiología (English Edition)

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.rxeng.2025.101612

CrossRef DOI link to the associated document: https://doi.org/10.1016/j.rx.2024.05.010

Content Type: article

Copyright: © 2024 SERAM. Published by Elsevier España, S.L.U. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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