Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome.

Barakat, Chadi S; Sharafutdinov, Konstantin; Busch, Josefine; Saffaran, Sina; Bates, Declan G; Hardman, Jonathan G; Schuppert, Andreas; Brynjólfsson, Sigurður; Fritsch, Sebastian; Riedel, Morris

Barakat, Chadi S; Sharafutdinov, Konstantin; Busch, Josefine; Saffaran, Sina; Bates, Declan G; Hardman, Jonathan G; Schuppert, Andreas; Brynjólfsson, Sigurður; Fritsch, Sebastian; Riedel, Morris.

Afiliação

Barakat CS; Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany.
Sharafutdinov K; School of Engineering and Natural Science, University of Iceland, 107 Reykjavik, Iceland.
Busch J; SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany.
Saffaran S; SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany.
Bates DG; Joint Research Centre for Computational Biomedicine, University Hospital RWTH Aachen, 52074 Aachen, Germany.
Hardman JG; Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany.
Schuppert A; School of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Brynjólfsson S; School of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Fritsch S; School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK.
Riedel M; SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany.

Diagnostics (Basel) ; 13(12)2023 Jun 17.

Article em En | MEDLINE | ID: mdl-37370993

Palavras-chave

ARDS; ICU; high-performance computing; machine learning; surrogate model; virtual patient

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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