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Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

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Title: Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.
Authors: Lassau N; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Ammari S; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Chouzenoux E; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Gortais H; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Herent P; Owkin Lab, Owkin, Inc, New York, NY, USA., Devilder M; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Soliman S; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Meyrignac O; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Talabard MP; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Lamarque JP; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Dubois R; Owkin Lab, Owkin, Inc, New York, NY, USA., Loiseau N; Owkin Lab, Owkin, Inc, New York, NY, USA., Trichelair P; Owkin Lab, Owkin, Inc, New York, NY, USA., Bendjebbar E; Owkin Lab, Owkin, Inc, New York, NY, USA., Garcia G; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France., Balleyguier C; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Merad M; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Stoclin A; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Jegou S; Owkin Lab, Owkin, Inc, New York, NY, USA., Griscelli F; Département de Biologie, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Tetelboum N; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France., Li Y; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France.; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Verma S; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Terris M; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Dardouri T; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Gupta K; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Neacsu A; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Chemouni F; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Sefta M; Owkin Lab, Owkin, Inc, New York, NY, USA., Jehanno P; Owkin Lab, Owkin, Inc, New York, NY, USA., Bousaid I; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Boursin Y; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Planchet E; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Azoulay M; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Dachary J; Owkin Lab, Owkin, Inc, New York, NY, USA., Brulport F; Owkin Lab, Owkin, Inc, New York, NY, USA., Gonzalez A; Owkin Lab, Owkin, Inc, New York, NY, USA., Dehaene O; Owkin Lab, Owkin, Inc, New York, NY, USA., Schiratti JB; Owkin Lab, Owkin, Inc, New York, NY, USA., Schutte K; Owkin Lab, Owkin, Inc, New York, NY, USA., Pesquet JC; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Talbot H; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Pronier E; Owkin Lab, Owkin, Inc, New York, NY, USA., Wainrib G; Owkin Lab, Owkin, Inc, New York, NY, USA., Clozel T; Owkin Lab, Owkin, Inc, New York, NY, USA., Barlesi F; Département d'Oncologie Médicale, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Bellin MF; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Blum MGB; Owkin Lab, Owkin, Inc, New York, NY, USA. michael.blum@owkin.com.
Source: Nature communications [Nat Commun] 2021 Jan 27; Vol. 12 (1), pp. 634. Date of Electronic Publication: 2021 Jan 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.
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          Identifiers:
            – Type: issn-electronic
              Value: 2041-1723
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Nature communications
              Type: main
ResultId 1