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. 2023 Oct 24;42(48):3545–3555. doi: 10.1038/s41388-023-02857-6

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — It is notable that the majority of approved applications are for tumour identification and biomarker quantification in prostate and breast cancer. In addition to the high rates of prevalence of these cancers, the tasks of tumour identification and biomarker quantification are time-consuming and difficult, and AI can improve efficiency and consistency of these in the clinic.