Project description
Racing against a radiologist shortage in cancer diagnostics
The shortage of radiologists analysing CT scans for cancer diagnoses has reached a critical juncture, as manual tasks and inadequate tools consume their valuable time. With cancer incidence projected to spike by 27.4 % over the next decade, the strain on radiologists threatens timely and accurate diagnostics. With this in mind, the EIC-funded Better Medicine Artificial Intelligence (BMAI) project aims to revolutionise cancer diagnostics. For instance, by automating up to 60 % of repetitive tasks, BMAI not only addresses the radiologist shortage, but also ensures efficient and precise assessments, ultimately saving lives in the face of this escalating medical challenge.
Objective
There is already a major shortage of radiologists who analyse CT scans for cancer diagnostics. Radiologists spend too much time on manual and repetitive tasks, such as manually measuring lesions, using inadequate tooling. As the incidence of cancer is expected to grow 27.4% over the next 10 years (according to WHO), the pressure on radiologists will only increase, leading to misdiagnosis or delay in diagnosis with potentially fatal consequences.
With Better Medicine Artificial Intelligence, the time radiologists spend on interpreting cancer-related CT scans is reduced by 40-60% by automating a range of repetitive tasks to significantly streamline workflows. We help reduce the shortage of radiologists, while saving lives with timely and accurate diagnostics.
Our solution is the first AI-powered tool for radiologists that takes the full-body approach and enables dynamic assessment of tumours, overcoming the biggest shortcomings of current offerings on the market.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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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.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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Topic(s)
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.
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-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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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-EIC-2023-ACCELERATOR-01
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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.
61709 TEEVEERE
Estonia
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.