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Disclaimer:\u00a0(BreastSCan is co-funded under the EU4Health Programme 2021\u20132027 under grant agreement no. 101219312.<\/em>\u00a0Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.<\/em>)<\/p>\n <\/p>\n Breast cancer is the most common cancer among women in Europe, and early detection <\/p>\n Disclaimer:\u00a0(BreastSCan is co-funded under the EU4Health Programme 2021\u20132027 under grant agreement no. 101219312.\u00a0Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be …<\/p>\n","protected":false},"author":142,"featured_media":4502,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20],"tags":[],"class_list":["post-4497","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hirek"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/posts\/4497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/users\/142"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/comments?post=4497"}],"version-history":[{"count":1,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/posts\/4497\/revisions"}],"predecessor-version":[{"id":4501,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/posts\/4497\/revisions\/4501"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/media\/4502"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/media?parent=4497"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/categories?post=4497"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/kepalkotas\/wp-json\/wp\/v2\/tags?post=4497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nis key to saving lives. Today, advances in digital technologies and artificial intelligence
\n(AI) are opening new possibilities to make breast cancer screening more accurate,
\nefficient, and accessible. The BreastSCan project brings together leading hospitals,
\nresearch centres, and technology partners across Europe to harness these
\nopportunities. The project is closely linked to the European Cancer Imaging Initiative
\nthrough the EUCAIM project, contributing directly to Cancer Image Europe \u2014 the
\nEuropean platform for cancer imaging data.
\nBreastSCan aims to create one of the largest and most diverse breast cancer imaging
\ndatasets ever compiled in Europe. By uniting 20 partners (including 14 major data
\nproviders) from nine countries, the project will collect over one million breast images \u2014
\nincluding mammograms, ultrasound, and MRI scans \u2014 from more than 250,000 imaging
\nprocedures. This will also include at least 30,000 images from 7,500 confirmed breast
\ncancer cases, ensuring that the dataset can be used to develop and test AI tools for
\nbreast cancer screening in eight use cases: image preprocessing, image quality, breast
\ndensity classification, lesion detection\/characterisation, and breast cancer risk
\nstratification.
\nBy building this dataset in line with European standards and legal frameworks,
\nBreastSCan will not only make valuable data available but also ensure that it is
\ninteroperable, secure, and ethically managed.
\nIn the short term, BreastSCan will set the foundations:
\n\u2022 Establishing common guidelines for breast cancer imaging to improve data
\nquality and consistency across Europe.
\n\u2022 Integrating existing datasets into the Cancer Image Europe platform, so
\nresearchers and clinicians can start using them right away.
\n\u2022 Providing training for healthcare professionals on how to work with AI tools and
\nadvanced imaging technologies.
\n\u2022 Building a robust, standardised technical infrastructure to enable safe and
\nseamless data sharing across borders.
\nIn the mid-term, these foundations will enable concrete advances:
\n\u2022 Hospitals will increasingly use AI to support breast cancer diagnostics, making
\ndetection faster, more accurate, and more personalised.
\n\u2022 The dataset will expand to include more European countries, capturing a wide
\ndiversity of populations and healthcare contexts.
\n\u2022 Clear policies and legal frameworks will ensure patient data is handled with the
\nhighest standards of privacy, security, and transparency, building trust among
\npatients and healthcare providers alike.
\nIn the long term, BreastSCan will leave a lasting legacy:
\n\u2022 A unique, pan-European dataset will be available to developers and researchers,
\nstrengthening Europe\u2019s competitiveness in AI-driven cancer research compared
\nto the U.S. and China.
\n\u2022 New AI tools will help detect cancers earlier, leading to better treatment
\noutcomes, higher survival rates, and improved quality of life for patients.
\n\u2022 The platform will remain open for continuous updates, integration of new cancer
\ntypes, and adoption of next-generation AI solutions, ensuring sustainable
\ninnovation in cancer care.
\nBy combining cutting-edge technology with European collaboration, BreastSCan is
\npaving the way for earlier detection, better care, and ultimately, fewer lives lost to breast
\ncancer.<\/p>\n![\"\"](\"https:\/\/semmelweis.hu\/kepalkotas\/files\/breast_scan_table-385x400.png\")
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