I-SCREEN
Financiado
I(eye)-SCREEN: A real-world AI-based infrastructure for screening and prediction...
I(eye)-SCREEN: A real-world AI-based infrastructure for screening and prediction of progression in age-related macular degeneration (AMD) providing accessible shared care
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. L...
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.
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Duración del proyecto: 47 meses
Fecha Inicio: 2024-01-01
Fecha Fin: 2027-12-31
Fecha Fin: 2027-12-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-01-01
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIC-2023-PATHFINDEROPEN-01-01:
EIC Pathfinder Open
Cerrada
hace 1 año
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
MEDIZINISCHE UNIVERSITAET WIEN
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5