Descrizione del progetto
Combattere la degenerazione maculare legata all’età con la diagnosi precoce
La degenerazione maculare legata all’età (AMD) è una patologia oculare molto diffusa: l’AMD in fase avanzata è la principale causa di cecità riconosciuta negli individui di età superiore ai 50 anni e colpisce oltre 110 milioni di persone in tutto il mondo. La sfida consiste nell’individuare precocemente l’AMD, prima che si verifichi la perdita irreversibile della vista. In quest’ottica, il progetto I-SCREEN, finanziato dal CEI, svilupperà un sistema diagnostico basato sull’intelligenza artificiale per il rilevamento e il monitoraggio precoce dell’AMD. Riunendo esperti clinici, sviluppatori di intelligenza artificiale e ottici, questo impegno multidisciplinare crea strumenti innovativi basati sul cloud per uno screening diffuso dell’AMD. Concentrandosi sull’apprendimento IA efficiente dal punto di vista dei dati e sull’analisi longitudinale dei dati OCT, I-SCREEN promette un’accessibilità senza precedenti alle cure salva-vista, stabilendo un nuovo standard per lo screening e la gestione della malattia.
Obiettivo
The aim of I(eye)-Screen is to develop an artificial intelligence (AI)-based diagnostic decision support system for screening and monitoring of age-related macular degeneration (AMD) at an early stage before vision loss occurs. Late AMD is the leading cause of legal blindness >50 years with 110 mio individuals at risk. The multidisciplinary consortium brings together a network of clinical retina experts, computer scientists working at the cutting edge of AI development, an infrastructure of community-based opticians/optometrists and an SME experienced in digital platform performance to develop innovative and trustworthy AI tools for broad, real-time AMD screening and monitoring via a cloud-based infrastructure with unlimited access. To achieve the ambitious goal of finding “the needle in the haystack” in early AMD, Optical Coherence Tomography (OCT), a high-resolution, effortless imaging modality is used providing a detailed characterization of the retina in extensive volumetric scans. Breakthrough AI approaches for medical imaging will be developed to enable data-efficient and robust learning from sparse longitudinal OCT data to systematically analyse dense data volumes and identify (sub)clinical markers of disease activity. Clinical sites throughout Europe will collect a longitudinal cohort serving for calibrating and fine-tuning algorithms using the high-end OCT device available at eye clinics. Innovative AI technology will then be created to transfer the detection and monitoring tools to low-cost devices used in next door opticians’/optometrists’ offices. The timing of the project perfectly fits the recent regulatory approval of the first therapy to halt progression of the major atrophic type of AMD. The resulting AI-based “shared care” strategy offers unrestricted accessibility to vision-maintaining care with greatest health equity and provides a role model for screening for systemic, cardiovascular and neurodegenerative disease reflecting retinal biomarkers.
Campo scientifico
Parole chiave
Programma(i)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Invito a presentare proposte
HORIZON-EIC-2023-PATHFINDEROPEN-01
Vedi altri progetti per questo bandoMeccanismo di finanziamento
HORIZON-EIC - HORIZON EIC GrantsCoordinatore
1090 Wien
Austria