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

Fecha de publicación: 24/02/2022 Fecha Ahead of Print: 24/02/2022

Autores de IIS La Fe

Luis Martí Bonmatí

Autor
Antonio Miguel Matas

Autor

Participantes ajenos a IIS La Fe

Suarez, Amelia
Aznar, Mario
Beregi, Jean Paul
Fournier, Laure
Neri, Emanuele
Laghi, Andrea
França M
Sardanelli, Francesco
Penzkofer, Tobias
Lambin, Phillipe
Blanquer, Ignacio
Menzel, Marion I.
Seymour, Karine
Figueiras, Sergio
Krischak, Katharina
Martinez, Ricard
Mirsky, Yisroel
Yang, Guang
Alberich-Bayarri, Angel

Grupos

Investigacion Biomédica en Imagen (GIBI 2-30)

Investigador Principal

Leonor Cerdá Alberich

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.

Copyright © 2022 Bonmatí, Miguel, Suárez, Aznar, Beregi, Fournier, Neri, Laghi, França, Sardanelli, Penzkofer, Lambin, Blanquer, Menzel, Seymour, Figueiras, Krischak, Martínez, Mirsky, Yang and Alberich-Bayarri.

Datos de la publicación

ISSN/ISSNe:: 2234-943X, 2234-943X
Tipo:: Article
Páginas:: 742701-742701
DOI:: 10.3389/fonc.2022.742701
Factor de Impacto:: 1,291 SCImago ℠
Cuartil:: Q1 SCImago ℠

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Filiaciones

Bonmati, Luis Marti:: Medical Imaging Department, La Fe University and Polytechnic Hospital & Biomedical Imaging Research Group Grupo de Investigación Biomédica en Imagen (GIBI230) at La Fe University and Polytechnic Hospital and Health Research Institute, Valencia, Spain
Miguel, Ana:: Medical Imaging Department, La Fe University and Polytechnic Hospital & Biomedical Imaging Research Group Grupo de Investigación Biomédica en Imagen (GIBI230) at La Fe University and Polytechnic Hospital and Health Research Institute, Valencia, Spain
Suarez, Amelia:: Matical Innovation SL, Madrid, Spain
Aznar, Mario:: Matical Innovation SL, Madrid, Spain
Beregi, Jean Paul:: Collège des enseignants en radiologie de France, Paris, France
Fournier, Laure:: Collège des enseignants en radiologie de France, Paris, France
Neri, Emanuele:: Diagnostic Radiology 3, Department of Translational Research, University of Pisa, Pisa, Italy
Laghi, Andrea:: Medicina Traslazionale e Oncologia, Sant Andrea Sapienza Rome, Rome, Italy
França M:: Department of Radiology, Centro Hospitalar Universitário do Porto, Porto, Portugal
Sardanelli, Francesco:: Servizio di Diagnostica per Immagini, "Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Donato, Milanese, Italy
Penzkofer, Tobias:: Department of Radiology, CHARITÉ-Universitätsmedizin Berlin, Berlin, Germany
Lambin, Phillipe:: Department of Precision Medicine, Maastricht University, Maastricht, Netherlands
Blanquer, Ignacio:: Computing Science Department, Universitat Politècnica de València, València, Spain
Menzel, Marion I.:: GE Healthcare, München, Germany

Department of Physics, Technical University of Munich, Garching, Germany
Seymour, Karine:: Medexprim, Labège, France
Figueiras, Sergio:: Bahia Software S.L.U., Coruña, Spain
Krischak, Katharina:: European Institute for Biomedical Imaging Research, EIBIR gemeinnützige GmbH, Vienna, Austria
Martinez, Ricard:: Departamento de Derecho Constitucional, Ciencia Política y Administración, Universitat de València, València, Spain
Mirsky, Yisroel:: Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel
Yang, Guang:: National Heart and Lung Institute, Imperial College London, London, United Kingdom
Alberich-Bayarri, Angel:: Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain