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| Funder | European Commission |
|---|---|
| Recipient Organization | Medizinische Universitaet Wien |
| Country | Austria |
| Start Date | Jan 01, 2024 |
| End Date | Dec 31, 2027 |
| Duration | 1,460 days |
| Number of Grantees | 12 |
| Roles | Coordinator; Participant; Associated Partner; Third Party |
| Data Source | European Commission |
| Grant ID | 101130093 |
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.
Medizinische Universitaet Wien; Centre Hospitalier Reg Universitaire Dijon; Eurice European Research and Project Office Gmbh; Vista Klinik Binningen; The Queen's University of Belfast; Fundacio de Recerca Clinic Barcelona-Institut D Investigacions Biomediques August Pi I Sunyer; Retinsight Gmbh; Universitat Zurich; Research and Innovation Services Doo Za Usluge; Hospital Clinic de Barcelona; European Council of Optometry and Optics; Univerzitetni Klinicni Center Ljubljana
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