Descrizione del progetto
Un software di apprendimento a sciame per lo screening oncologico basato sull’IA
L’intelligenza artificiale (IA) rivoluzionerà la sanità grazie a un miglioramento delle diagnosi mediche. Per raggiungere questo obiettivo, è necessario condividere grandi quantità di dati dei pazienti, ma spesso vari ostacoli si frappongono al suo raggiungimento. L’apprendimento a sciame (SL, Swarm Learning) permette lo sviluppo di IA per uso medico che rispettino la privacy, ma l’accesso a questa tecnologia è limitato. Alla luce di tali presupposti, il progetto ODELIA, finanziato dall’UE, costruirà il primo framework software open source per l’apprendimento a sciame, offrendo uno sviluppo snello di soluzioni di IA applicabili nello screening oncologico. Oltre a fornire un’applicazione medica utile per lo screening del cancro al seno, il progetto dimostrerà i vantaggi clinici dell’apprendimento a sciame in termini di accelerazione dello sviluppo, miglioramento delle prestazioni e ottima generalizzabilità, con l’obiettivo ultimo di salvare migliaia di vite.
Obiettivo
ArtifArtificial Intelligence (AI) will revolutionize healthcare as its diagnostic performance approaches that of clinical experts. In particular, in cancer screening, AI helps patients to make better-informed decisions and reduce medical error. However, this requires large datasets whose collection faces severe practical, ethical and legal obstacles. These obstacles can be overcome with swarm learning (SL) where partners jointly train AI models without sharing any data. Yet, access to SL technology is seriously limited because no studies have implemented SL in a true multinational setup, no practically usable implementation of SL is available, researchers & healthcare providers have no experience with setting up SL networks and policymakers are currently unaware of the broader implications of SL. ODELIA will address & solve these issues: ODELIA will build the first open-source software framework for SL, providing an assembly line for the streamlined development of AI solutions. To serve as a blueprint for future SL-based AI systems, ODELIA partners collaborate as a swarm to develop the first clinically useful AI algorithm for the detection of breast cancer in magnetic resonance imaging (MRI). The size of ODELIA's distributed database will exceed all previous studies and ODELIA's AI models will reach expert-level performance for breast cancer screening. Thereby, ODELIA will not only deliver a useful medical application, but prove the clinical benefit of SL in terms of accelerated development, increased performance and robust generalizability to ultimately save thousands of lives of European patients. ODELIA's success will push partners to serve as nuclei for the exponential growth of the SL network and extend SL to a multitude of medical applications. Thus, patients, healthcare providers and citizens in Europe will be provided with a digital infrastructure that enables development of expert-level AI tools on big data without compromising data safety and data privacy.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdatabases
- natural sciencescomputer and information sciencesdata sciencebig data
- medical and health sciencesclinical medicineoncologybreast cancer
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
Programma(i)
- HORIZON.2.1 - Health Main Programme
- HORIZON.2.1.6 - Health Care Systems
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
1010 Wien
Austria