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Disruptive Artificial Intelligence engine to facilitate rapid low cost development of specialist e-health applications for smart decision making in medical pre-diagnosis

Objective

10-15% of all medical cases in developed countries are misdiagnosed, mainly due to medical practitioners’ lack of experience, limited time for diagnosis and rarity of the conditions. Furthermore, there is an increasing global shortage of healthcare workers. WHO recommends at least 2.3 health workers per 1000 people, unfortunately yet some countries have 0.05 per 1000 people. To address this need, Infermedica has developed a medical diagnostic framework AI-medicare which for the first time provides a complete toolset for 3rd party developers of medical apps and services to build advanced clinical decision support systems. Our solution enables digital health developers to achieve at low cost and short time what currently takes months, saving thousands of lives and public money. To do so, co-founders rely on their cooperation with professional partners, medical experts, and VCs. Today there are just a few companies which try to develop diagnostic engines to improve clinical decision-making. However, they do it without meaningful disruption of current medical practices, and they do not share their AI engines. For that, Al-medicare open medical platform is particularly attractive for IT companies building healthcare products or services for patients and providers like research institutions, EHR platform providers, start-ups and individual developers. To fully commercialize this EU-based technology, a comprehensive business model was proposed. Future growth will be driven by B2B model based on the license. In Phase 1, we will conduct global market studies of the digital health market, develop an innovation management strategy and identify and engage development and demonstration partners. In Phase 2, we will significantly expand and refine the medical knowledge base which is the foundation of the framework, validate and test the diagnostic framework in a real-life environment and adapt advanced machine learning techniques to expand and optimize AI-medicare performance.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2016-2017

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Coordinator

INFERMEDICA SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
PLAC SOLNY 14/3
50-062 WROCLAW
Poland

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Makroregion południowo-zachodni Dolnośląskie Miasto Wrocław
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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