Objective
Routine radiology services are facing a huge problem delivering analysis of the very large number of X-ray images shortly after acquisition – leading to patients sometimes waiting for weeks for the results. The current number of radiologists is insufficient to efficiently analyse and deliver the medical report shortly, causing unnecessary stress for patients and potential delay in diagnosis and treatment.
Radiobotics is developing a machine learning-based software that automatically analyses routine X-rays of the musculoskeletal system and generates the respective medical report. Although the recent advances in machine learning have accelerated the development of tools for medical imaging analysis, the solutions available are only semi-automatic and focused on other more acute and specific diagnoses. Radiobotics automatic software will decrease time use and improve diagnostic quality, greatly benefiting: 1) radiologists/physicians by lowering the amount of images queued up for analysis and increase the diagnostic volume that radiologists can deliver, while providing a more objective analysis; 2) hospitals/clinics/radiology centres by optimizing their workflow, saving costs and offering higher quality services to patients; and 3) patients by having access to a faster and accurate diagnosis and consequently early treatments.
AutoRay project will enable maturing our technology to a market-ready software and also to implement an effective business and communication strategy to build market awareness, and customer trust. We are supported by clinical development partners in Denmark and UK, and our team has the right combination of expertise in biomedical engineering, machine learning, business development and commercialization to perform this project and fulfil all the needs and requests of end-users and customers, eventually benefiting the society as whole.
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.
- medical and health sciences medical biotechnology
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence computer vision
- medical and health sciences clinical medicine radiology
- natural sciences computer and information sciences artificial intelligence machine learning
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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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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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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.
1263 Copenhagen
Denmark
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.