Project description
Thermography AI for early detection of peripheral arterial disease
Peripheral arterial disease (PAD) affects more than 230 million people worldwide, with half of them remaining asymptomatic and receiving late diagnoses. Recent advancements in thermography and AI offer the potential for continuous and preventive healthcare. Kelvin Health has developed a system that employs thermography AI for non-invasive PAD screening, using deep neural networks. A thermal camera generates and analyses thermograms to identify vascular anomalies. The EU-funded AI-CARE project has the following objectives: to address challenges in establishing a clear regulatory pathway for market approval in its initial target markets, design a clinical validation study, evaluate the patentability of the method, and promote women’s entrepreneurship, particularly in the field of deep tech healthcare, where women are significantly underrepresented.
Objective
It is estimated that more than 230M people worldwide suffer from Peripheral Arterial Disease (PAD) and each year more than 22M of them develop Critical Limb Ischemia - a life-threatening condition with 50% combined incidence of amputation and/or death in a 3-year period. Timely PAD diagnosis is the most important factor to avoid complications by treatment procedures (revascularization) and proper disease management (daily walks, change of dietary habits, etc.). Unfortunately, half of the PAD-suffering population is asymptomatic and therefore lately diagnosed. Recent technology advancements in Thermography (portable, high-resolution and precise hardware) and Artificial Intelligence (scalable infrastructure and highly accurate computer vision analysis) can support much needed progress towards continuous and preventive and value-based healthcare.
Kelvin Health develops a clinical decision support system based on Thermography AI for non-invasive, cost-efficient population-wide screening and diagnosis, initially addressing pathology related to PAD - blockage or narrowing of limbs’ blood vessels. The system applies a portable thermal imaging camera that captures body thermodynamics and generates a series of thermograms, which are then thermally segmented, and analyzed temporarily using AI image recognition algorithms. The ML model is trained to detect anomalies related to the vascular system using state-of-the-art machine learning algorithms such as deep neural networks and, in particular convolutional neural networks.
AI-CARE proposal aims at addressing the challenges we meet to structure clear regulatory pathway for market approval at initial target markets, design a clinical validation study and assess the patentability of our method. At the same time promoting women entrepreneurship, especially in deep tech healthcare where women are highly underrepresented. Successful project implementation will lead to Kelvin Health's success in R&D capital fundraising.
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 technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences economics and business business and management entrepreneurship
- natural sciences physical sciences thermodynamics
- medical and health sciences basic medicine pathology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.2 - European innovation ecosystems
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIE-2022-SCALEUP-02
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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.
1407 Sofia
Bulgaria
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.