Objective
BreastScreening-AI is a multimodal, explainable GenAI platform designed to improve accuracy, speed, and reliability in breast cancer diagnostics. Built by SensiPerception, a deep-tech spin-off from Instituto Superior Técnico, the system integrates mammography, ultrasound, and MRI into a single predictive pipeline using cross-attention deep-learning models trained on a large, expert-annotated multicentre dataset. Unlike existing single-modality AI tools, it delivers real-time, BIRADS-aligned assessments enriched with adaptive, user-tailored explanations, supporting both junior and senior radiologists.
The solution addresses persistent diagnostic challenges - false positives up to 40%, false negatives around 10%, and growing radiologist shortages - while operating seamlessly within PACS environments without requiring new hardware. Retrospective validation on >15,000 patient cases showed a 50% reduction in false positives, 60% reduction in false negatives, a fourfold increase in radiologist throughput, and a reduction of diagnostic time from 11 minutes to under 3.
The EIC Pre-Accelerator will enable BreastScreening-AI to advance from TRL 4 to TRL 6 through clinical-workflow integration, multicentre pilots, and regulatory-aligned validation supporting CE-IVDR Class IIb and FDA pathways. In parallel, the project will consolidate its IP position, strengthen business readiness, and prepare for scale-up through Siemens Healthineers’ syngo.via Frontier ecosystem. By combining deep clinical reasoning with trustworthy, human-centred AI, BreastScreening-AI aims to become the European reference solution for early, accurate, and explainable breast cancer diagnostics.
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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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.4.1 - Widening participation and spreading excellence
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-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-WIDERA-2025-02
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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.
3030-199 COIMBRA
Portugal
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.