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

Diagnostics, vol. 13, pp. 2098

Abstract

Acute Respiratory Distress Syndrome (ARDS) is a condition that endangers the lives of many Intensive Care Unit patients through gradual reduction of lung function. Due to its heterogeneity, this condition has been difficult to diagnose and treat, although it has been the subject of continuous research, leading to the development of several tools for modeling disease progression on the one hand, and guidelines for diagnosis on the other, mainly the “Berlin Definition”. This paper describes the development of a deep learning-based surrogate model of one such tool for modeling ARDS onset in a virtual patient: the Nottingham Physiology Simulator. The model-development process takes advantage of current machine learning and data-analysis techniques, as well as efficient hyperparameter-tuning methods, within a high-performance computing-enabled data science platform. The lightweight models developed through this process present comparable accuracy to the original simulator (per-parameter R2 > 0.90). The experimental process described herein serves as a proof of concept for the rapid development and dissemination of specialised diagnosis support systems based on pre-existing generalised mechanistic models, making use of supercomputing infrastructure for the development and testing processes and supported by open-source software for streamlined implementation in clinical routines.

Authors 10

1. Chadi Barakat corresponding

   University of Iceland · Forschungszentrum Jülich · Jülich Supercomputing Centre

   Affiliation as printed

   Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany

   SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany

   School of Engineering and Natural Science, University of Iceland, 107 Reykjavik, Iceland

2. Konstantin Sharafutdinov Aachen Joint Research Center for Computational Biomedicine

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Joint Research Centre for Computational Biomedicine, University Hospital RWTH Aachen, 52074 Aachen, Germany

   SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany

3. Josefine Busch

   Forschungszentrum Jülich · Jülich Supercomputing Centre

   Affiliation as printed

   Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany

4. Sina Saffaran

   University of Warwick

   Affiliation as printed

   School of Engineering, University of Warwick, Coventry CV4 7AL, UK

5. Declan G. Bates

   University of Warwick

   Affiliation as printed

   School of Engineering, University of Warwick, Coventry CV4 7AL, UK

6. Jonathan G. Hardman

   University of Nottingham

   Affiliation as printed

   School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK

7. Andreas Schuppert Aachen Joint Research Center for Computational Biomedicine

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Joint Research Centre for Computational Biomedicine, University Hospital RWTH Aachen, 52074 Aachen, Germany

   SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany

8. Sigurður Brynjólfsson

   University of Iceland

   Affiliation as printed

   School of Engineering and Natural Science, University of Iceland, 107 Reykjavik, Iceland

9. Sebastian Johannes Fritsch Aachen Department of Intensive Care Medicine

   Forschungszentrum Jülich · Universitätsklinikum Aachen · Jülich Supercomputing Centre · RWTH Aachen University

   Affiliation as printed

   Department of Intensive Care Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany

   Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany

   SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany

10. Morris Riedel

    University of Iceland · Forschungszentrum Jülich · Jülich Supercomputing Centre

    Affiliation as printed

    Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany

    SMITH Consortium of the German Medical Informatics Initiative, 07747 Leipzig, Germany

    School of Engineering and Natural Science, University of Iceland, 107 Reykjavik, Iceland