Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT
A logistic regression utilizing features from thoracic CT and its metadata can provide rapid decision support by estimating short-term COVID-19 severity. Its stable performance underscores its potential for real-world clinical integration. By enabling rapid risk stratification using readily available imaging data, this approach can support early clinical decision-making, optimize resource allocation, and improve patient management, particularly during surges in COVID-19 cases. Furthermore, this study provides a foundation for future research on prognostic modelling in respiratory infections.
Authors
- Gilles Darcis (ORCID: https://orcid.org/0000-0001-8192-1351)
- Ine Dirks (ORCID: https://orcid.org/0000-0002-1648-0358)
- Athanasios Giannakis
- Tanmoy Mukherjee (ORCID: https://orcid.org/0000-0002-9540-5398)
- Simon Van Eyndhoven (ORCID: https://orcid.org/0000-0003-0752-4969)
- Julien Guiot (ORCID: https://orcid.org/0000-0001-7800-1730)
- Nikos Deligiannis (ORCID: https://orcid.org/0000-0001-9300-5860)
- Matías Nicolás Bossa (ORCID: https://orcid.org/0000-0001-5127-2573)
- Bart Ilsen (ORCID: https://orcid.org/0000-0002-9651-924X)
- Abel Díaz Berenguer (ORCID: https://orcid.org/0000-0003-4970-6517)
- Hichem Sahli (ORCID: https://orcid.org/0000-0002-1774-2970)
- Lucie Seyler (ORCID: https://orcid.org/0000-0003-3559-6847)
- Jef Vandemeulebroucke (ORCID: https://orcid.org/0000-0001-5714-3254)
- Arne Witdouck (ORCID: https://orcid.org/0009-0007-6699-1010)
- Emma Verelst
Institutions
- Vrije Universiteit Brussel (BE)
- Imec the Netherlands (NL)
- National and Kapodistrian University of Athens (GR)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- IMEC (BE)
- Universitair Ziekenhuis Brussel (BE)
- German Center for Lung Research (DE)
- Icometrix (Belgium) (BE)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12911-025-02983-z
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00