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. 2020 Sep 18;31(3):1770–1779. doi: 10.1007/s00330-020-07269-8

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© The Author(s) 2020

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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Fig. 2 — Examples of the AI system (qXR v2.1 c2, Qure.ai Technologies) analysis overlay on initial CXRs of two patients in our cohort showing the percentage of pixels involved by opacity or consolidation for each lung. a Posteroanterior CXR of an 18-year-old male (34% right lung; 9% left lung; Qure AI score [(34 + 9)/2] = 21.5). b Anteroposterior CXR of an 81-year-old male (70% right lung; 34% left lung; Qure AI score [(70 + 34)/2] = 52)