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CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

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CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

dc.contributor.author	Martí Bonmatí, Luis
dc.contributor.author	Miguel, Ana
dc.contributor.author	Suárez, Amelia
dc.contributor.author	Aznar, Mario
dc.contributor.author	Beregi, Jean Paul
dc.contributor.author	Fournier, Laure
dc.contributor.author	Neri, Emanuele
dc.contributor.author	Laghi, Andrea
dc.contributor.author	França, Manuela
dc.contributor.author	Sardanelli, Francesco
dc.contributor.author	Penzkofer, Tobias
dc.contributor.author	Lambin, Philippe
dc.contributor.author	Blanquer Espert, Ignacio
dc.contributor.author	Menzel, Marion I.
dc.contributor.author	Seymour, Karine
dc.contributor.author	Figueiras, Sergio
dc.contributor.author	Krischak, Katharina
dc.contributor.author	Martínez, Ricard
dc.contributor.author	Mirsky, Yisroel
dc.contributor.author	Yang, Guang
dc.contributor.author	Alberich Bayarri, Ángel
dc.date.accessioned	2022-05-02T13:06:08Z
dc.date.available	2022-05-02T13:06:08Z
dc.date.issued	2022
dc.identifier.citation	Martí Bonmatí, Luis Miguel, Ana Suárez, Amelia Aznar, Mario Beregi, Jean Paul Fournier, Laure Neri, Emanuele Laghi, Andrea França, Manuela Sardanelli, Francesco Penzkofer, Tobias Lambin, Philippe Blanquer Espert, Ignacio Menzel, Marion I. Seymour, Karine Figueiras, Sergio Krischak, Katharina Martínez, Ricard Mirsky, Yisroel Yang, Guang Alberich Bayarri, Ángel 2022 CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools Frontiers In Oncology 12 742701 1 11
dc.identifier.uri	https://hdl.handle.net/10550/82499
dc.description.abstract	The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imaging, artificial intelligence and cancer treatment, addressing the four types of cancer that currently have the highest prevalence worldwide: lung, breast, prostate and colorectal. To allow this, clinical partners and external collaborators will populate the repository with multimodality (MR, CT, PET/CT) imaging and related clinical data. Subsequently, AI developers will enable a multimodal analytical data engine facilitating the interpretation, extraction and exploitation of the information stored at the repository. The development and implementation of AI-powered pipelines will enable advancement towards automating data deidentification, curation, annotation, integrity securing and image harmonization. By the end of the project, the usability and performance of the repository as a tool fostering AI experimentation will be technically validated, including a validation subphase by world-class European AI developers, participating in Open Challenges to the AI Community. Upon successful validation of the repository, a set of selected AI tools will undergo early in-silico validation in observational clinical studies coordinated by leading experts in the partner hospitals. Tool performance will be assessed, including external independent validation on hallmark clinical decisions in response to some of the currently most important clinical end points in cancer. The project brings together a consortium of 18 European partners including hospitals, universities, R&D centers and private research companies, constituting an ecosystem of infrastructures, biobanks, AI/in-silico experimentation and cloud computing technologies in oncology.
dc.language.iso	eng
dc.relation.ispartof	Frontiers In Oncology, 2022, vol. 12, num. 742701, p. 1-11
dc.subject	Intel·ligència artificial
dc.subject	Càncer
dc.subject	Imatges tridimensionals en medicina
dc.title	CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools
dc.type	journal article	es_ES
dc.date.updated	2022-05-02T13:06:09Z
dc.identifier.doi	10.3389/fonc.2022.742701
dc.identifier.idgrec	152044
dc.rights.accessRights	open access	es_ES