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Call key data
Deployment of cutting-edge multi-modal AI-based solutions in medical imaging
Funding Program
Digital Europe
Call number
DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP
deadlines
Opening
04.11.2025
Deadline
03.03.2026 17:00
Funding rate
50% (SME:75%)
Call budget
€ 14,400,000.00
Estimated EU contribution per project
€ 14,400,000.00
Link to the call
Link to the submission
Call content
short description
By building on, extending and leveraging the Cancer Image Europe platform, this action is expected to facilitate the uptake of EU AI-driven solutions in medical imaging (including Machine Learning and Generative AI), towards their deployment in clinical settings. It should also include upskilling of healthcare professionals and evidence generation to evaluate the performance of the deployed AI-driven solutions and engage patients.
Call objectives
Medical imaging is one of the most advanced and promising areas in health where Artificial Intelligence (AI) applications can truly make a difference in transforming health and care for the benefit of the patients and health care providers. AI-powered tools in medical imaging can support earlier and more accurate diagnosis, better prediction of patient outcomes, and identification of new disease characteristics. They can combine and interpret data of different types (e.g. imaging, omics, laboratory results, etc.) and from different sources, supporting more personalised diagnosis, predictions and treatments.
In oncology, the Cancer Image Europe platform implemented by the EUCAIM project under the Digital Europe Programme will offer access to medical imaging data and a testing environment to maximise the uptake of AI solutions in clinical practice and medical research. The platform should support SMEs from the medtech sector which hold a great potential for innovating the European digital healthcare systems and biomedical research environment in testing and validating AI solutions.
Moreover, integration of health data of different types is crucial for advancing innovation and healthcare outcomes. Advanced technologies, methods and tools, including AI, will enable discovery of data across different data infrastructures, linking and integrating them to enable multi-modal analysis and inform patient treatment towards more personalised approaches. A pre-requisite will be to ensure a high degree of interoperability between the different health data infrastructures and with the HealthData@EU infrastructure of the European Health Data Space (EHDS) and Simpl middleware for data spaces.
Finally, the development and deployment of multi-modal AI-based tools is still hampered by data quality issues, high costs, insufficient clinical evidence and limited knowledge and training of healthcare professionals.
Therefore, the objective of this action is to:
- Accelerate the uptake of EU AI-driven solutions that are ready to be deployed in healthcare settings for patient care and for research purposes. This will facilitate the paradigm shift in the digital transformation of healthcare towards personalised medical solutions;
- Facilitate the deployment of EU cutting-edge AI-driven solutions in medical imaging, combined with other health data, for increased efficiency and better patient outcomes, leveraging the Cancer Image Europe platform;
- Further develop the data, testing and validation services and user tools of Cancer Image Europe platform in alignment with the legal and technical framework of the European Health Data Space, also towards supporting the development and uptake of EU cutting-edge multi-modal AI-based solutions in medical imaging (including Deep learning and Generative AI solutions) for healthcare;
- Ensure alignment and inter-operability of the Cancer Image Europe platform with the HealthData@EU infrastructure of the EHDS;
- Conduct multi-centre validation studies of promising medical imaging-based and multi-modal AI solutions for screening, early detection, diagnosis and care, generating evidence for clinical utility and cost effectiveness of tested solutions.
This action relates to the potential creation of a European Digital Infrastructure Consortium for cancer image data (Cancer Image Europe EDIC) and supports the activities related to operating the respective data infrastructure established with the support of Digital Europe under Work Programme 2021-2022 (EUCAIM project).
The support for deployment under this topic concerns in particular two areas of activities, linked to the ambition and scope of the future Cancer Image Europe EDIC:
- Delivery of multi-modal solutions (including evidence generation of clinical utility and to support regulatory approval)
- Deployment of solutions having and/or pending regulatory approval that could be piloted or trialled in healthcare settings (further evidence generation for cost-benefits or HTA)
The AI-solutions should be associated with one or multiple imaging modalities (e.g. X-ray, CT (computed tomography), MRI (magnetic resonance imaging), ultrasound, endoscopy, etc.), and should leverage different types of health-related data (e.g. laboratory results, genomics, other omics, clinical data, other real-world data) in combination with one or more types of medical imaging. For example, the following tools or functionalities can be deployed within the action: annotation, summarization, error identification, information extraction, report generation, interpretation of data, conversion of medical image format, image reconstruction, image generation, image classification, personalised treatment plans, or patient stratification (for clinical trials, medical research, data referencing in personalised medicine). The action must cover the validation of reproducible image-based decision support models in oncology.
The action should also contribute to upgrading and enhancing the uptake of the Cancer Image Europe platform through deployment of tools, application programming interfaces (APIs) and interfaces enabling high-quality data services for the users of the Cancer Image Europe platform. The solutions should cover, at least, data quality assessment, including security, data access and analysis, as well as services for AI developers supporting their regulatory compliance pathway, including the EHDS Regulation, if applicable. Moreover, data services will cover comprehensive data quality assessment—including security, data access, and analysis. Specifically, tools will be deployed to ensure that datasets federated in Cancer Image Europe are fully compliant with EHDS, utilizing Health DCAT-AP for metadata descriptions and adhering to the data quality and utility label standards set by the EHDS Regulation.
Moreover, the action should consider synergies and cross-fertilisation of tools with other relevant health data infrastructures: HealthData@EU, 1+Million Genomes (1+MG), Intensive Care Unit data infrastructure, the European Virtual Human Twins Initiative, and UNCAN.eu platform to further facilitate the integration and processing of different types of health data. Also, the outcomes of EU-funded projects dealing with other imaging modalities, such as digital pathology (e.g. BigPicture project), should be considered. Finally, synergies with the ongoing AI related activities of the Health Data Access Bodies (HDABs) in the EHDS, the SHAIPED project and the TEF-Health project should be leveraged.
This action should ensure that appropriate tools are deployed to support data curation at source, quality benchmarking, annotation, dataset description and enhancement on the side of data providers and the data infrastructure. This covers the whole process of data inclusion, integration and access provision, as well as compliance assessment, risk management and data security assurance on the side of Cancer Image Europe. All functionalities and services should be designed to support the needs and requirements of three main use scenarios of Cancer Image Europe, i.e. the deployment of AI solutions in healthcare settings, biomedical research and SME innovation for digital healthcare. They should follow, implement and further develop the standards and procedures agreed in the European Cancer Imaging Initiative and deploy a risk governance framework compliant with the AI Act, ensuring data security and safety of AI solutions designed to be applied on humans. Inherent risks of the new technology must be effectively mitigated and managed.
This action also supports the alignment of the Cancer Image Europe platform with the requirements, technical specifications, and processes established by the EHDS Regulation to ensure a smooth functioning within the HealthData@EU infrastructure. By leveraging the platform’s advanced tools and services, the action will support and promote the secondary use of medical imaging data across various medical specialties where medical imaging plays a crucial role, and for different purposes including research, innovation, healthcare delivery and regulatory purposes. This is expected to support the integration, processing and combination of diverse types of health data, promoting holistic health data analysis.
SMEs and healthcare providers must be appropriately involved in further developing the platform so that it best supports their needs and requirements to bring innovative solutions to clinical practice, especially in view of the requirements of the EHDS Regulation, AI Act and Medical Device Regulation (MDR) (interoperability and regulatory compliance).
One project will be funded under this topic. The project should reserve appropriate budget and consider measures to collaborate with healthcare providers, medtech companies and SMEs to support clinical validation and deployment of AI-driven solutions in the field of medical imaging.
The proposal should provide detailed measures to foster effective and concrete collaborations between healthcare providing organisations and AI developers/SMEs, that will lead to the delivery of multi-modal solutions, to validation of specific solutions on local data, and/or to piloting of these solutions in healthcare settings.
The relevant medical centres are required to collaborate with the network of advanced screening centres for medical imaging-based and multi-modal AI-based screening to be established under the topic “2.3.3.3 Apply AI: Piloting AI-based image screening in medical centres”. The action should reserve budget for the purpose of participating in these activities.
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Expected effects and impacts
KPIs to measure outcomes and deliverables
- Number of tools, APIs and interfaces developed, tested and deployed in the Cancer Image Europe platform, covering well documented needs of users from research, healthcare and Medtech companies and SMEs
- Number of organisations which use the Cancer Image Europe platform for working with imaging data: at least 60 organisations from at least 15 EU Member States
- Number of Medtech companies and SMEs who have used the Cancer Image Europe platform for developing, testing or validating AI solutions: at least 30 by project end
- Number of multi-modal AI models deployed in research settings for which clinical utility has been assessed in multi-centre studies
- Number of software as medical device (SaMD) solutions for which the process of regulatory approval has been initiated and where the Cancer Image Europe platform has supported the clinical validation/evidence generation
- Number of AI solutions deployed/piloted in healthcare settings/healthcare organisations
Additional KPIs should be proposed by applicants in the project proposal as appropriate.
Targeted stakeholders
Hospitals and outpatient clinics (both public and private entities are eligible), healthcare research institutions (e.g. university departments providing patient care and conducting clinical trials), relevant Member States authorities (e.g. ministries of health, regional health authorities, Health Data Access Bodies, …), AI developers e.g. MedTech companies (especially SMEs) applying together with healthcare providers (hospitals/ outpatient clinics), European Digital Infrastructure Consortia (EDIC).
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Expected results
- New data services and user tools for the Cancer Image Europe platform covering data curation / inclusion by data providers, data quality assurance and compliance checks, and risk/security management in alignment with agreed standards, procedures and requirements, including the framework of the European Health Data Space.
- Multi-centre validation of AI-driven solutions in the field of medical imaging, including also evidence generation for clinical utility and cost efficiency.
- Deployment of multi-modal, cutting-edge AI-driven solutions in the field of medical imaging in healthcare and research settings, leveraging different types of data (at least one imaging modality and one other data type e.g. genomics, other omics, laboratory results, real-world data etc.) and building on the achievements of the Cancer Image Europe platform.
- Training and upskilling of medical imaging personnel and/or healthcare professionals for the deployed technology and further use.
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Eligibility Criteria
Regions / countries for funding
Iceland (Ísland), Liechtenstein, Norway (Norge), Switzerland (Schweiz/Suisse/Svizzera)
eligible entities
Education and training institution, Non-Profit Organisation (NPO) / Non-Governmental Organisation (NGO), Other, Private institution, incl. private company (private for profit), Public Body (national, regional and local; incl. EGTCs), Research Institution incl. University, Small and medium-sized enterprise (SME)
Mandatory partnership
Yes
Project Partnership
Proposals must be submitted by minimum 7 independent applicants (beneficiaries; not affiliated entities) from 7 different eligible countries.
In order to be eligible, the applicants (beneficiaries and affiliated entities) must:
- be legal entities (public or private bodies)
- be established in one of the eligible countries, i.e.:
- EU Member States (including overseas countries and territories (OCTs))
- non-EU countries (except for topics with restrictions; see below):
- listed EEA countries and countries associated to the Digital Europe Programme (list of participating countries)
Please note however that some topics are subject to restrictions due to security reasons. For this topic, only the following countries are eligible: EU Member States, EEA countries and Switzerland. Entities must not be directly or indirectly controlled from a country that is not an eligible country unless the granting authority agrees to allow for exceptional participation on the basis of a guarantee (ownership control restriction).
Financial support to third parties is not allowed.
Due to restrictions due to security, the proposals for this topic must relate to activities taking place in the eligible countries.
other eligibility criteria
Specific cases and definitions
Natural persons are NOT eligible (with the exception of selfemployed persons, i.e. sole traders, where the company does not have legal personality separate from that of the natural person).
International organisations are NOT eligible, unless they are International organisations of European Interest within the meaning of Article 2 of the Digital Europe Regulation (i.e. international organisations the majority of whose members are Member States or whose headquarters are in a Member State).
Entities which do not have legal personality under their national law may exceptionally participate, provided that their representatives have the capacity to undertake legal obligations on their behalf, and offer guarantees for the protection of the EU financial interests equivalent to that offered by legal persons.
EU bodies (with the exception of the European Commission Joint Research Centre) can NOT be part of the consortium.
Entities composed of members may participate as ‘sole beneficiaries’ or ‘beneficiaries without legal personality’. Please note thatif the action will be implemented by the members, they should also participate (either as beneficiaries or as affiliated entities, otherwise their costs will NOT be eligible).
Beneficiaries from countries with ongoing negotiations for participating in the programme (see list of participating countries above) may participate in the call and can sign grants if the negotiations are concluded before grant signature and if the association covers the call (i.e. is retroactive and covers both the part of the programme and the year when the call was launched).
Special rules apply for entities subject to EU restrictive measures under Article 29 of the Treaty on the European Union (TEU) and Article 215 of the Treaty on the Functioning of the EU (TFEU). Such entities are not eligible to participate in any capacity, including as beneficiaries, affiliated entities, associated partners, subcontractors or recipients of financial support to third parties (if any).
Special rules apply for entities subject to measures adopted on the basis of EU Regulation 2020/2092. Such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties, etc). Currently such measures are in place for Hungarian public interest trusts established under the Hungarian Act IX of 2021 or any entity they maintain (see Council Implementing Decision (EU) 2022/2506, as of 16 December 2022).
Additional information
Topics
Relevance for EU Macro-Region
EUSAIR - EU Strategy for the Adriatic and Ionian Region, EUSALP - EU Strategy for the Alpine Space, EUSBSR - EU Strategy for the Baltic Sea Region, EUSDR - EU Strategy for the Danube Region
UN Sustainable Development Goals (UN-SDGs)
project duration
48 months
Additional Information
Proposals must be complete and contain all the requested information and all required annexes and supporting documents:
- Application Form Part A — contains administrative information about the participants (future coordinator, beneficiaries and affiliated entities) and the summarised budget for the project (to be filled in directly online)
- Application Form Part B — contains the technical description of the project (template to be downloaded from the Portal Submission System, completed, assembled and re-uploaded)
- mandatory annexes and supporting documents (templates to be downloaded from the Portal Submission System, completed, assembled and reuploaded):
- ownership control declarations (including for associated partners and subcontractors)
Proposals are limited to maximum 70 pages (Part B).
Call documents
Call Document DIGITAL-2026-AI-09Call Document DIGITAL-2026-AI-09(666kB)
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