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. 2023 Jul 1;13:10666. doi: 10.1038/s41598-023-37835-1

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Visualization of the data extraction pipeline. For training, we only make use of those patients who were admitted to the Intensive Care Unit (n = 53,150) and who had clinical data (clinical parameters—CP) with matching chest radiographs available (n = 6,125). The data is split into the training (n = 4,396 patients), validation (n = 472 patients), and test sets (n = 1,257 patients).