Descripción del proyecto
A la vanguardia de la seguridad transfronteriza de la inteligencia artificial sanitaria
Los datos sanitarios son la clave de descubrimientos revolucionarios, pero la protección de la privacidad ha sido un obstáculo. Aprovechar el potencial de la asistencia sanitaria basada en datos y, al mismo tiempo, preservar la privacidad y la seguridad es todo un reto. El equipo del proyecto FLUTE, financiado con fondos europeos, aborda esta cuestión con métodos novedosos de utilización transfronteriza de datos. Se centra en la mejora de la computación multipartita segura en el aprendizaje federado, con modelos avanzados de inteligencia artificial (IA) y entornos de ejecución seguros. Estas innovaciones constituirán una plataforma centrada en la privacidad para el desarrollo de tecnologías de IA en el ámbito sanitario. FLUTE se integrará con centros de datos sanitarios de tres países, lo que dará lugar a un potente conjunto de herramientas de IA para el diagnóstico del cáncer de próstata. Este esfuerzo multinacional pretende mejorar las predicciones y, así, reducir procedimientos innecesarios y recortar costes.
Objetivo
The FLUTE project will advance and scale up data-driven healthcare by developing novel methods for privacy-preserving cross-border utilization of data hubs. Advanced research will be performed to push the performance envelope of secure multi-party computation in Federated Learning, including the associated AI models and secure execution environments. The technical innovations will be integrated in a privacy-enforcing platform that will provide innovators with a provenly secure environment for federated healthcare AI solution development, testing and deployment, including the integration of real world health data from the data hubs and the generation and utilization of synthetic data. To maximize the impact, adoption and replicability of the results, the project will contribute to the global HL7 FHIR standard development, and create novel guidelines for GDPR-compliant cross-border Federated Learning in healthcare.
To demonstrate the practical use and impact of the results, the project will integrate the FLUTE platform with health data hubs located in three different countries, use their data to develop a novel federated AI toolset for diagnosis of clinically significant prostate cancer and perform a multi-national clinical validation of its efficacy, which will help to improve predictions of aggressive prostate cancer while avoiding unnecessary biopsies, thus improving the welfare of patients and significantly reducing the associated costs.
Team. The 11-strong consortium will include three clinical / data partners from three different countries, three technology SMEs, three technology research partners, a legal/ethics partner and a standards organization.
Collaboration. In accordance with the priorities set by the European Commission, the project will target collaboration, cross-fertilization and synergies with related national and international European projects.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
78153 Le Chesnay Cedex
Francia