Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial

Authors

Carla Conceição (ORCID: https://orcid.org/0009-0001-5063-8526)
Pedro Leme Silva (ORCID: https://orcid.org/0000-0001-5838-4949)
Hugo C. Castro‐Faria‐Neto (ORCID: https://orcid.org/0000-0002-0763-3578)
Camila Marinelli Martins (ORCID: https://orcid.org/0000-0002-8425-5769)
Fernanda Ferreira Cruz (ORCID: https://orcid.org/0000-0001-9443-3648)
Davide Chiumello (ORCID: https://orcid.org/0000-0001-9260-3930)
Patrícia R. M. Rocco (ORCID: https://orcid.org/0000-0003-1412-7136)
Mariana Castelo Branco Andrade e Silva (ORCID: https://orcid.org/0009-0001-4609-225X)

Institutions

Universidade Federal do Rio de Janeiro (BR)
University of Milan (IT)
Ospedale San Paolo (IT)
Fundação Oswaldo Cruz (BR)

Publication Details

Journal: Frontiers in Medicine
Published: 2025-05-02
DOI: https://doi.org/10.3389/fmed.2025.1561980
Citations: 1
Primary Topic: COVID-19 Clinical Research Studies
Type: article
Field-Weighted Citation Impact: 1.40

Funders

Conselho Nacional de Desenvolvimento Científico e Tecnológico

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article

Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial

Carla Conceição, Pedro Leme Silva, Hugo C. Castro‐Faria‐Neto, Camila Marinelli Martins et al.

May 2, 2025

1 citations

Frontiers in Medicine

COVID-19 Clinical Research Studies

1.40

article

Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial

Carla Conceição, Pedro Leme Silva, Hugo C. Castro‐Faria‐Neto, Camila Marinelli Martins, Fernanda Ferreira Cruz, Davide Chiumello, Patrícia R. M. Rocco, Mariana Castelo Branco Andrade e Silva

May 2, 2025article en

1 citations

Abstract

No abstract available for this paper.

Frontiers in MedicineVol. 12

Universidade Federal do Rio de Janeiro (BR), University of Milan (IT), Ospedale San Paolo (IT), Fundação Oswaldo Cruz (BR)

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Openalex Percentile: Top 21%

COVID-19 Clinical Research Studies

1.40

DOI Open Access PDF OpenAlex

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