Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improved prognostic performance in two validation datase...
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Nature Portfolio
2021
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oai:doaj.org-article:76a7a97e4e24414e8fad1e1e8183cf072021-12-02T14:16:40ZIntegrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients10.1038/s41467-020-20657-42041-1723https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf072021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20657-4https://doaj.org/toc/2041-1723The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improved prognostic performance in two validation datasets compared to previous scores.Nathalie LassauSamy AmmariEmilie ChouzenouxHugo GortaisPaul HerentMatthieu DevilderSamer SolimanOlivier MeyrignacMarie-Pauline TalabardJean-Philippe LamarqueRemy DuboisNicolas LoiseauPaul TrichelairEtienne BendjebbarGabriel GarciaCorinne BalleyguierMansouria MeradAnnabelle StoclinSimon JegouFranck GriscelliNicolas TetelboumYingping LiSagar VermaMatthieu TerrisTasnim DardouriKavya GuptaAna NeacsuFrank ChemouniMeriem SeftaPaul JehannoImad BousaidYannick BoursinEmmanuel PlanchetMikael AzoulayJocelyn DacharyFabien BrulportAdrian GonzalezOlivier DehaeneJean-Baptiste SchirattiKathryn SchutteJean-Christophe PesquetHugues TalbotElodie PronierGilles WainribThomas ClozelFabrice BarlesiMarie-France BellinMichael G. B. BlumNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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DOAJ |
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EN |
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Science Q |
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Science Q Nathalie Lassau Samy Ammari Emilie Chouzenoux Hugo Gortais Paul Herent Matthieu Devilder Samer Soliman Olivier Meyrignac Marie-Pauline Talabard Jean-Philippe Lamarque Remy Dubois Nicolas Loiseau Paul Trichelair Etienne Bendjebbar Gabriel Garcia Corinne Balleyguier Mansouria Merad Annabelle Stoclin Simon Jegou Franck Griscelli Nicolas Tetelboum Yingping Li Sagar Verma Matthieu Terris Tasnim Dardouri Kavya Gupta Ana Neacsu Frank Chemouni Meriem Sefta Paul Jehanno Imad Bousaid Yannick Boursin Emmanuel Planchet Mikael Azoulay Jocelyn Dachary Fabien Brulport Adrian Gonzalez Olivier Dehaene Jean-Baptiste Schiratti Kathryn Schutte Jean-Christophe Pesquet Hugues Talbot Elodie Pronier Gilles Wainrib Thomas Clozel Fabrice Barlesi Marie-France Bellin Michael G. B. Blum Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| description |
The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improved prognostic performance in two validation datasets compared to previous scores. |
| format |
article |
| author |
Nathalie Lassau Samy Ammari Emilie Chouzenoux Hugo Gortais Paul Herent Matthieu Devilder Samer Soliman Olivier Meyrignac Marie-Pauline Talabard Jean-Philippe Lamarque Remy Dubois Nicolas Loiseau Paul Trichelair Etienne Bendjebbar Gabriel Garcia Corinne Balleyguier Mansouria Merad Annabelle Stoclin Simon Jegou Franck Griscelli Nicolas Tetelboum Yingping Li Sagar Verma Matthieu Terris Tasnim Dardouri Kavya Gupta Ana Neacsu Frank Chemouni Meriem Sefta Paul Jehanno Imad Bousaid Yannick Boursin Emmanuel Planchet Mikael Azoulay Jocelyn Dachary Fabien Brulport Adrian Gonzalez Olivier Dehaene Jean-Baptiste Schiratti Kathryn Schutte Jean-Christophe Pesquet Hugues Talbot Elodie Pronier Gilles Wainrib Thomas Clozel Fabrice Barlesi Marie-France Bellin Michael G. B. Blum |
| author_facet |
Nathalie Lassau Samy Ammari Emilie Chouzenoux Hugo Gortais Paul Herent Matthieu Devilder Samer Soliman Olivier Meyrignac Marie-Pauline Talabard Jean-Philippe Lamarque Remy Dubois Nicolas Loiseau Paul Trichelair Etienne Bendjebbar Gabriel Garcia Corinne Balleyguier Mansouria Merad Annabelle Stoclin Simon Jegou Franck Griscelli Nicolas Tetelboum Yingping Li Sagar Verma Matthieu Terris Tasnim Dardouri Kavya Gupta Ana Neacsu Frank Chemouni Meriem Sefta Paul Jehanno Imad Bousaid Yannick Boursin Emmanuel Planchet Mikael Azoulay Jocelyn Dachary Fabien Brulport Adrian Gonzalez Olivier Dehaene Jean-Baptiste Schiratti Kathryn Schutte Jean-Christophe Pesquet Hugues Talbot Elodie Pronier Gilles Wainrib Thomas Clozel Fabrice Barlesi Marie-France Bellin Michael G. B. Blum |
| author_sort |
Nathalie Lassau |
| title |
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| title_short |
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| title_full |
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| title_fullStr |
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| title_full_unstemmed |
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients |
| title_sort |
integrating deep learning ct-scan model, biological and clinical variables to predict severity of covid-19 patients |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07 |
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