The EUropean Federation for CAncer IMages (EUCAIM) project originates from an unprecedented body of work and expertise of the “AI for Health Imaging” Network (AI4HI), which consists of 86 affiliated institutions from 20 countries involved in 5 large EU-funded projects on big data and AI in cancer imaging (CHAIMELEON, EUCANIMAGE, INCISIVE, ProCancer-I, PRIMAGE; coordinated by HULAFE, UB, MAG, FORTH and HULAFE, respectively). This network will bring information from more than 91.000 patients with cancer. The AI4HI Network has been organised into 8 working groups (Ethical and legal issues, Metadata interoperability, Data storage and management, Data annotation, AI development, AI validation, Clinical Working Group and Outreach Working Group), each consisting of 15 experts representing the 5 projects complemented with a wide range of stakeholders, perspectives, approaches and disciplines. Since 2020, these working groups have delivered detailed analyses of the existing landscape, solutions and challenges based on a concrete set of clinical use cases from the AI4HI projects (lung, breast, liver, colorectal, prostate). Hence, the EUCAIM project is not yet another proposal to build a new infrastructure from scratch, but an integrated architecture carefully designed by the AI4HI Network, and major European Research Infrastructures (Euro-BioImaging, BBMRI, EATRIS and ELIXIR) on real-world achievements, as detailed in this proposal. The main concept of EUCAIM is of a central hub that federates distributed nodes (repositories, Research Infrastructures, and hospitals) to build up a hybrid distributed and centralized infrastructure on cancer images, including all types of cancer.

Cíle udržitelného rozvoje

Masarykova univerzita se hlásí k cílům udržitelného rozvoje OSN, jejichž záměrem je do roku 2030 zlepšit podmínky a kvalitu života na naší planetě.