Project description
Machine learning and visualisation techniques for surgical solution
Surgeons rely on medical images to make critical decisions. Poorly interpreted MRIs and CT scans can result in unnecessary surgeries, more invasive procedures and slower recoveries. The ERC-funded AVATAR project introduces a revolutionary surgical solution as a highly effective productivity tool for medical specialists and surgeons. It features the first-ever photorealistic XR viewer of 3D medical images, powered by advanced machine learning algorithms and data visualisation techniques. The project aims to improve medical decision-making without investing in new equipment or personnel. Thanks to high-fidelity local or cloud-based rendering, the solution is the first to seamlessly integrate preoperative and intraoperative data, while clinical applications guide surgeons in planning and implementing specific procedures.
Objective
Surgeons depend on medical images to make difficult decisions. MRIs and CT-scans that are difficult to interpret can lead to unnecessary surgeries, more invasive operations and slower recoveries.
The AVATAR surgery solution is a groundbreaking productivity tool for surgeons and medical specialists. It is the first photorealistic XR viewer of 3D medical images, based on innovative machine learning algorithms and data visualization techniques, with the express objective of enhancing medical decision making.
Through high-fidelity local or Cloud-based render streaming, AVATAR will be the first solution to meet surgeon expectations for seamless preoperative and intraoperative data integration. Our Clinical Applications will assist surgeons in planning and implementing specific procedures.
For hospitals struggling to manage growing demand for surgery, AVATAR promises to provide valuable productivity gains without investing in new equipment or personnel.
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 clinical medicine surgery
- social sciences economics and business economics production economics productivity
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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.3.1 - 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-2022-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.
75015 Paris
France
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.