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. 2022 Aug 29;127(9):960–972. doi: 10.1007/s11547-022-01518-0

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© The Author(s) 2022

Open AccessThis 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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Fig. 4 — Patients data stored in PowerBI environment for extended research and statistical purposes. Different PowerBI dashboards have been generated in order to provide additional information about patients’ demographics (a), patients distribution in intensive care units (b) and patients’ survival rate according to hospitals, gender, clinical and radiological features (c) selected for the AI -SCoRE computation. In addition, a specific dashboard related to all parameters collected for each patient has been added (d), with the aim of possibly extending the research beyond COVID-19 and finding possible correlations and trends among parameters