Objective
Diabetes is a growing global health concern, affecting 422M people today and the number is projected to rise to 642M by
2040. Over 30 % of diabetics develop a vision-threatening complication called diabetic retinopathy (DR), which is the most
frequent cause of preventable blindness in working-aged adults. DR is diagnosed from retinal images traditionally graded by
an ophthalmologist. Regular eye screenings are the only effective way to detect disease at early stage to prevent visual
impairment or blindness. Hence, globally more than 1 billion screenings would be needed annually. Time, cost and resource efficient screening methods are needed to reach all diabetics.
Finnish Optomed Oy (Ltd.) combines the precision of their handheld fundus camera with an automatic DR grading to
establish Smartscope-X solution. Smartscope-X consists of three main components: a low-cost handheld fundus camera, an
automated screening algorithm and cloud service for fundus images. With this unique combination, Optomed’s vision is to
bring affordable, accessible and automatic DR screening available for all diabetics. In this project, the key ambition is to
validate and commercialise Smartscope-X solution. The project has four objectives: (1) DR algorithm is integrated into
Optomed fundus camera and Optomed Cloud service is developed, (2) clinical validations are conducted, (3) piloting and
commercialisation of the Smartscope-X, with necessary approvals, (4) to establish a data safety and storage system.
Smartscope-X will have a significant impact on visual impairment and blindness prevention in Europe and globally. Today,
significant equipment investment and an experienced grader or ophthalmologist are needed. Hence, DR screening
availability is limited. Smartscope-X user can be trained to use the solution in 1-2 hours. Screening with Smartscope-X will
cost 10 % of current. Therefore, DR screening becomes available to new customers such as endocrinology clinics and even
primary care.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- medical and health sciencesclinical medicineendocrinologydiabetes
- social scienceseconomics and businessbusiness and managementbusiness models
- medical and health sciencesclinical medicineophthalmologyretinopathy
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Programme(s)
- H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme
- H2020-EU.3.1.4. - Active ageing and self-management of health
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.1.6. - Health care provision and integrated care
Call for proposal
(opens in new window) H2020-SMEInst-2016-2017
See other projects for this callSub call
H2020-SMEINST-2-2016-2017
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
90230 OULU
Finland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.