Objective
Cancer is the second leading cause of death globally, with radiotherapy (RT) being a cornerstone treatment for nearly half of all patients. A key element of RT is the accurate definition of target volumes, a task traditionally performed manually by physicians. The quality of target volumes differs significantly between treatment centers and healthcare systems, directly impacting patients’ outcomes. While advances in artificial intelligence (AI) have simplified and standardized the segmentation of healthy organs, creating personalized target volumes that incorporate individual patient-specific data remains an unsolved challenge.
AI-PIONEER aims to revolutionize the RT treatment planning process by combining the vast potential of multimodal large language models with 3D image segmentation. For the first time, AI-PIONEER will provide a language-based interface for target volume definition, offering a dynamic and adaptable solution for treatment planning. This will enable the unprecedented opportunity to process both scientific publications and patient-specific data to generate literature-founded, personalized, and precise target volumes.
The project has three main objectives: (1) curating an extensive and high-quality multicenter CT dataset, (2) developing and fine-tuning a multimodal foundation AI model for personalized target volume creation, and (3) clinically validating the framework across multiple centers using prospective clinical data, ensuring robust results in real-world settings.
By integrating cutting-edge AI technology with clinical expertise, AI-PIONEER will bridge the gaps between efficiency, standardization, and personalization in cancer treatment, ultimately improving patient outcomes worldwide. Thorough clinical validation will provide the basis for clinical translation. This approach is poised to significantly reduce the burden on clinicians while elevating the quality of cancer care.
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.
This project's classification has been human-validated.
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.
This project's classification has been human-validated.
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.1.1 - European Research Council (ERC)
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-ERC - HORIZON ERC Grants
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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) ERC-2025-STG
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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.
81675 Muenchen
Germany
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.