ARTIFICIAL INTELLIGENCE DATA AUGMENTATION FOR THE BENEFIT OF CITIZEN'S HEALTH

The Centre National des Etudes Spatiales (CNES), willing to open-up towards non-space ecosystems to foster interdisciplinary innovation for the benefit of the economical, societal and environmental development has signed a collaborative partnership with the French Society of Radiology (SFR). Relying on its “Connect, by CNES” initiative to”fuel disruptive innovation and drive economic development through the use of space solutions”, CNES and the SFR have strengthened this partnership in the field of image processing and radiology in order to promote co-innovation, enable capacity building and ultimately solve challenges that are common to both entities. Indeed, SFR, which is a national scientific society binding all French radiologists is not only concerned by diagnostic and therapeutic imaging tools but also by techniques such as advanced imaging treatment algorithms, image texture analysis, and artificial intelligence which all aim at providing key prognostic tools, allowing more preventive, more predictive and more individualized practice of medicine. Through the elaboration of a common roadmap, common challenges have been evidenced, such as the need to rapidly process a large amount of data, to detect, extract and analyze weak signals and to translate the information into operational product for the user, who is not always an expert. In October 2021, during the International JFR congress of radiology held in Paris, France, SFR and CNES together launched the 5^th edition of the Radiological Data Challenge which is a contest dedicated to Artificial Intelligence. The objective of this specific edition was to develop data augmentation for rare liver tumors. The CNES-SFR collaborative working group naturally wondered if it would be possible to generate a large database from a very small rare disease dataset focusing on aggressive liver cancer. Beyond the technical results of the contest, the objective was also to federate different ecosystems around a common approach and having radiologists and industrials, researchers, students from both space and radiology fields working together to answer to the objective of the contest. A total of.