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. 2023 Mar 16;13:4336. doi: 10.1038/s41598-023-29949-3

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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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(a) Schematic Illustration of the Similar Patient Search Web Service. (1) The user selects an ROI on an axial CT slice using the host Application (syngo.via VA40A). The slice, along with the ROI, is sent to the cloud service (2). A deep-learning-based feature representation (fingerprint) for the slice/ROI combination is computed in the cloud (3). The fingerprint is then compared to pre-generated fingerprints from the reference database (4). The tool returns a webpage that shows the most similar image patches from the reference database and their corresponding diagnosis (5). The clinical reference content from Thieme is accessible by a single click on the disease detail page (6). (b) Example SPS result from the study: Left: Input Slice (case with Mounier Kuhn Syndrome) with the ROI chosen by the study participant (orange outline) Right: SPS User interface with top 3 results of the similarity search for this case.