Deployment of cutting-edge multi-modal AI-based solutions in medical imaging

Deployment of cutting-edge multi-modal AI-based solutions in medical imaging is sponsored by European Commission — Digital Europe Programme. Expected Outcome: 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. Objective: 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. Scope: 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. 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 wit

Programme areas: DIGITAL

Keywords: Artificial intelligence, Health and Ecosystem Services, Health care, Health data, Health sciences, cancer, data infrastructure, data services, medical imaging, oncology, STEP-Digital/deep tech

EU Funding & Tenders Portal EU Funding & Tenders Portal * Results & Innovation support * SME Self-assessment tool Home Funding Calls for proposals Deployment of cutting-edge multi-modal AI-based solutions in medical imaging Deployment of cutting-edge multi-modal AI-based solutions in medical imaging DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP * Conditions and documents * Partner search announcements Digital Europe Programme (DIGITAL) AI Continent (DIGITAL-2026-AI-09) DIGITAL-SME Digital SME Support Actions DIGITAL Action Grant Budget-Based [DIGITAL-AG] 03 March 2026 17:00:00 Brussels time * 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. * 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.

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.

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.

The submission session is now available for: DIGITAL-2026-AI-09-DS-HEALTH-TOOL, DIGITAL-2026-AI-09-DS-HEALTH-STORAGE, DIGITAL-2026-AI-09-GENAI-PA, DIGITAL-2026-AI-09-VIRTUAL-TESTBEDS-STEP, DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP, DIGITAL-2026-AI-09-ECAVA, DIGITAL-2026-AI-09-AUTOMOTIVE Topic conditions and documents #### 1. Admissibility Conditions: Proposal page limit and layout described in section 5 of the call document.

**Proposal page limits and layout:** described in Part B of the Application Form available in the Submission System. #### 2. Eligible Countries described in section 6 of the call document.

#### 3. Other Eligible Conditions described in section 6 of the call document. #### 4.

Financial and operational capacity and exclusion described in section 7 of the call document. #### 5a. Evaluation and award: Submission and evaluation processes described section 8 of the call document and the Online Manual.

#### 5b. Evaluation and award: Award criteria, scoring and thresholds described in section 9 of the call document. #### 5c.

Evaluation and award: Indicative timeline for evaluation and grant agreement described in section 4 of the call document. #### 6. Legal and financial set-up of the grants described in section 10 of the call document.

#### Call document and annexes: **Application form templates** Standard application form (DEP) — the application form specific to this call is available in the Submission System Ownership control declaration **Model Grant Agreements (MGA)** #### Additional documents: EU Financial Regulation 2024/2509 Guidance Classification on information in DIGITAL projects Guidelines on How to Complete Your Ethics Self-Assessment Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment EU Grants AGA — Annotated Model Grant Agreement Funding & Tenders Portal Online Manual Funding & Tenders Portal Terms and Conditions Funding & Tenders Portal Privacy Statement | Topic | Budget (EUR) - Year : 2025 | Stages | Opening date | Deadline | Contributions | Indicative number of grants | | --- | --- | --- | --- | --- | --- | --- | | DIGITAL-2026-AI-09-AUTOMOTIVE - DIGITAL-SIMPLE DIGITAL Simple Grants | 3 500 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-DS-HEALTH-STORAGE - DIGITAL-GP DIGITAL Grants for Procurement | 17 500 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-DS-HEALTH-TOOL - DIGITAL-SIMPLE DIGITAL Simple Grants | 5 000 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-ECAVA - DIGITAL-CSA DIGITAL Coordination and Support Actions | 1 000 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-GENAI-PA - DIGITAL-CSA DIGITAL Coordination and Support Actions | 1 800 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP - DIGITAL-SME Digital SME Support Actions | 14 400 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 1 | | DIGITAL-2026-AI-09-VIRTUAL-TESTBEDS-STEP - DIGITAL-SIMPLE DIGITAL Simple Grants | 17 000 000 | Single-stage | 04/11/2025 | 03/03/2026 | | 2 | Partner search announcements **Searches of partners to collaborate on this topic** LEARs, Account Administrators or self-registrants can publish partner requests for open and forthcoming topics after logging into this Portal, as well as any user having an active public Person profile.

To access the Electronic Submission Service, please click on the submission-button next to the **type of action** and the **type of model grant agreement** that corresponds to your proposal. You will then be asked to confirm your choice, as it cannot be changed in the submission system. Upon confirmation, you will be linked to the correct entry point.

To access existing draft proposals for this topic, please login to the Funding & Tenders Portal and select the My Proposals page of the My Area section. **Please select the type of your submission:** Digital SME Support Actions [DIGITAL-SME], DIGITAL Action Grant Budget-Based [DIGITAL-AG] Topic Q&As**6** item(s) found Who are the key consortium players in previous projects?

The EUCAIM consortium consists of 95 partners (public and private entities) from 17 countries. Many EUCAIM partners are part of the “AI for Health Imaging” Network (AI4HI), a cluster... Are guarantees accepted for this topic?

Yes. This topic is restricted according to Article 12. 6 of the Digital Europe Programme.

All participants to the consortia need to submit with the proposal an ownership control decla... What are the consortium composition requirements for this topic? The required consortium composition is minimum 7 independent applicants (beneficiaries; not affiliated entities) from 7 different eligible countries.

See section on eligibility in th... Are specific cancer types (adult/childhood, tissue e.g. colon etc) prioritised under this topic? The call text does not prioritise any specific cancer types for this call.

Where can I find more information about the Cancer Image Europe platform? Information on the Cancer Image Europe platform can be found on the following website: www. cancerimage.

eu. Is the goal to have a platform in which others can deploy AI solutions in a governed space with high quality data (e.g.the requirement to provide data) or deploying specific AI solutions - or a combination of both? The topic is about “facilitating the deployment of EU AI-driven solutions in medical imaging leveraging Cancer Image Europe platform”.

It calls for “further development of the data, ... Please read carefully all provisions below before the preparation of your application. For help related to this call, please contact us here Funding & Tenders Portal FAQ – Submission of proposals.

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