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. 2022 Nov 11;31(3):1053–1062. doi: 10.1007/s00167-022-07220-y

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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. 3 — Mean differences between senior reader AI software-aided and unaided labelling in sensitivity, specificity and accuracy for KL > 0, KL > 1, JSN > 0, sclerosis OARSI grade > 0, sclerosis OARSI grade > 1 and osteophyte OARSI grade > 0. Values to the right of the vertical line at 0 are improvements by the use of AI software. Error bars signify 95% confidence intervals. KL Kellgren–Lawrence, JSN joint space narrowing, SC sclerosis, OS osteophyte, OA osteoarthritis