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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.

Authors :
Bonmatí, Luis Martí
Miguel, Ana
Suárez, Amelia
Aznar, Mario
Beregi, Jean Paul
Fournier, Laure
Neri, Emanuele
Laghi, Andrea
França, Manuela
Sardanelli, Francesco
Penzkofer, Tobias
Lambin, Phillipe
Blanquer, Ignacio
Menzel, Marion I.
Seymour, Karine
Figueiras, Sergio
Krischak, Katharina
Martínez, Ricard
Mirsky, Yisroel
Yang, Guang
Source :
Frontiers in Oncology; 2/24/2022, Vol. 12, p1-11, 11p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2234943X
Volume :
12
Database :
Complementary Index
Journal :
Frontiers in Oncology
Publication Type :
Academic Journal
Accession number :
155430374
Full Text :
https://doi.org/10.3389/fonc.2022.742701