Overview
Digital Europe call DIGITAL-2026 funds piloting of scalable cloud-based AI/GenAI systems for medical imaging screening focused on cancer and cardiovascular diseases, requiring clinical workflow integration, large-scale validation, and evidence for regulatory approval and HTA. The call has an indicative budget of €9,000,000, expects to fund up to two projects with a maximum EU contribution of €4,500,000 per project, a 50% funding rate and a project duration of 36 months. Multi-beneficiary consortia are mandatory, with at least seven independent beneficiaries from five eligible countries (EU/EEA/Switzerland) and at least one industrial partner; medical centres must join the European network of AI-powered advanced screening centres. Proposals must be submitted via the EU Funding & Tenders Portal by 1 October 2026, 17:00 Brussels time, following the DEP Part B template and a 70-page limit for the technical description.
Partner Search
Find collaboration partners for this call
Highlights
Apply AI: Piloting AI-based image screening in medical centres
Call at a glance
Essential facts
Programme: Digital Europe Programme — AI Continent. Call type: Call for proposals (DIGITAL-SIMPLE DIGITAL Simple Grants). Action: pilot replicable, scalable cloud-based AI and GenAI systems for medical imaging screening integrated into clinical workflows; focus on cancer and cardiovascular use cases with clinical validation, regulatory pathway, data protection and cybersecurity, cost-efficiency evidence and network activities.
Total budget and expected awards:€9 000 000 total; indicative 2 grants expected; maximum EU contribution €4 500 000 per project Call document 1
- 1Deadline: 1 October 2026, 17:00 Brussels time (single-stage). Planned topic opening: 21 April 2026.
- 2Project duration: up to 36 months.
- 3Funding rate: Simple Grants — 50% of eligible costs.
- 4Type of grant: budget-based mixed actual cost grant (with unit cost/flat-rate elements and depreciation rules for equipment).
Who can apply / consortium requirements
Eligible applicants: legal entities (public or private) established in eligible countries (EU Member States, EEA and Switzerland where specified). Security/ownership restrictions apply: for this topic participation is limited to EU Member States, EEA countries and Switzerland; entities controlled from ineligible third countries will be excluded unless a guarantee is accepted.
- 1Consortium mandatory: multi-beneficiary applications only; minimum 7 independent beneficiaries from at least 5 different eligible countries.
- 2At least one industrial partner required; medical centres from multiple eligible countries must participate and join the European network of AI-powered advanced screening centres.
- 3Subcontracting and procurement must respect country and security restrictions in the call.
What the project must deliver (high level)
Expected outcomes include proofs-of-concept of scalable cloud-based AI/GenAI screening systems integrated in clinical workflows; large-scale technical and clinical validation in real healthcare settings; clinician validation procedures; regulatory approval plans and risk management; robust data protection and cybersecurity measures; evidence on cost-efficiency for HTA/regulatory purposes; sustainability and dissemination activities and participation in the European screening centres network.
Key scope and constraints
Projects must use European-trained trustworthy AI/GenAI algorithms developed and validated on very large patient datasets, deploy secure privacy-preserving cloud environments, ensure interoperability with EHR/PACS/RIS, perform local performance evaluation and post-deployment monitoring, and prioritise replicability across eligible countries. Use of solutions already validated in the TEF for Health is encouraged where relevant.
Application practicalities
Submission via the EU Funding & Tenders Portal only. Proposal Part B page limit 70 pages. Mandatory participant registration in the Participant Register (PICs). Evaluation: one-stage, scored against Relevance, Implementation and Impact (overall pass threshold 10/15). Grant preparation and validation required before signature.
| Item | Details |
|---|---|
| Deadline | 01 October 2026 17:00 Brussels time |
| Planned opening | 21 April 2026 |
| Indicative number of grants | 2 |
| Max EU contribution per project | €4 500 000 |
| Total call budget | €9 000 000 |
| Project duration | 36 months |
| Funding rate | 50% |
Footnotes
- 1Full call documentation, topic fiche, conditions, annexes and application templates are available on the Funding & Tenders Portal and in the official call document Call document.
Find a Consultant to Support You
Breakdown
Apply AI: Piloting AI-based image screening in medical centres (DIGITAL-2026-AI-PILOTING-10-SCREENING)
Opportunity summary and objectives
Call for proposals under the Digital Europe Programme — AI Continent (topic DIGITAL-2026). Purpose: fund large-scale pilots that implement scalable cloud-based AI and Generative AI systems for medical imaging screening in clinical settings. Projects must integrate trustworthy European AI/GenAI algorithms trained on very large patient datasets, deploy secure privacy-preserving cloud environments, integrate with clinical IT systems (EHR, PACS, RIS), demonstrate clinical validation in real healthcare settings, measure cost-efficiency for regulatory and HTA processes, and contribute to the European network of AI-powered advanced screening centres. Projects must address cancer and cardiovascular disease use cases as primary focus areas and produce evidence for regulatory approval, cybersecurity, data protection and sustainability for EU-wide uptake.
Total budget and award:Indicative call budget €9 000 000. Expected to fund up to 2 projects. Maximum EU contribution per project: €4 500 000. Project duration expected: 36 months 1.
Key deliverables, outcomes and expected impact
Mandatory project outputs and outcomes required by the topic description include proofs-of-concept of replicable scalable cloud-based AI/GenAI systems for medical imaging screening; demonstration of clinician validation workflows and seamless clinical integration; technical and clinical validation and large-scale testing with many patient test cases in real clinical settings; evidence-based cost-efficiency analysis suitable for regulatory and health technology assessment purposes; two or more events or workshops per year per project for the European network of AI-powered advanced screening centres (with participant satisfaction measured); membership of medical centres in the European network of AI-powered advanced screening centres; a regulatory approval plan including risk management, clinical evaluation and post-market clinical follow-up; a detailed data protection and cybersecurity plan addressing sensitive health data and compliance with EU law (GDPR, AI Act and relevant cybersecurity Acts); a sustainability plan for EU uptake; and stakeholder engagement and dissemination reports with measurable KPIs.
- 1Proof-of-concept(s) of cloud-based AI/GenAI medical imaging screening systems integrated in clinical workflows.
- 2Clinical validation, local performance evaluation and post-deployment monitoring in real healthcare settings.
- 3Evidence on cost-efficiency for regulatory and HTA use.
- 4Minimum two events/workshops per project per year for the European network with participant satisfaction >80% target for the network events (applicants must propose KPIs).
- 5Regulatory approval plan and post-market clinical follow-up plan.
- 6Detailed data protection and cybersecurity plan aligned with EU legal and ethical frameworks.
- 7Sustainability and replication plan for uptake across eligible countries.
- 8Stakeholder engagement and dissemination plan with measurable KPIs.
Scope and technical requirements
Projects must implement a scalable cloud-based environment running European trustworthy and safe AI/GenAI algorithms developed and validated on very large patient data sets. They must deploy privacy-preserving cloud infrastructure with appropriate identification, authentication and access management for authorised use only; ensure interoperability and data exchange with health IT (EHR, PACS, RIS); demonstrate integration and large-scale validation across many patient test cases in clinical settings; prioritise clinician-in-the-loop validation of AI outputs; target cancer and cardiovascular disease screening use cases (applicants choose specific data types and algorithms); provide technical and clinical performance and usability evidence; generate cost-efficiency evidence for regulators and HTA; and where relevant, reuse AI solutions validated in the TEF for Health. Projects should leverage existing European health data infrastructures (e.g. Cancer Image Europe, HealthData@EU) and previous EU-funded project results where appropriate.
Key technical obligations:Secure privacy-preserving cloud environment, interoperability with national health IT systems, clinician validation workflow, post-deployment monitoring, cybersecurity and data protection implementation, regulatory submission planning and clinical evaluation, participation and contribution to the European AI-powered advanced screening centres network, replication and sustainability planning.
Eligibility and consortium composition
This topic is a multi-beneficiary call with specific eligibility and security restrictions. Applicants must be legal entities (public or private) registered in eligible countries. Natural persons (except self-employed where legally applicable) and most international organisations are not eligible unless specifically allowed by the call rules. EU bodies (except the Commission Joint Research Centre) are not eligible as beneficiaries.
- 1Minimum consortium: 7 independent beneficiaries from at least 5 different eligible countries (independent = not affiliated).
- 2At least one industrial partner must be included in the consortium.
- 3Consortium should combine healthcare providers (medical centres), medtech industry, AI/GenAI developers, IT solution providers, research organisations, patient representatives and other stakeholders (public authorities, NGOs) as relevant.
- 4Affiliated entities, associated partners, subcontractors and third parties giving in-kind contributions are allowed under the rules and must be documented. Associated partners cannot receive EU grant money.
Eligible countries and participation restrictions:Participation is restricted for security reasons: only entities established in EU Member States, EEA countries and Switzerland are eligible for this topic. Entities must not be directly or indirectly controlled from a country that is not an eligible country unless a specific guarantee and approval process is accepted by the granting authority. High-risk suppliers of mobile network communication equipment (and entities they own/control) are not eligible to participate in any capacity. Projects activities and subcontracted work must take place in eligible countries unless otherwise approved by the granting authority 1.
Administrative, financial and submission details
Call type: DIGITAL Simple Grants (DIGITAL-SIMPLE). Model grant agreement: DIGITAL Action Grant Budget-Based (DEP MGA). Funding rate: 50% of eligible costs (simple grants). Financial form: budget-based mixed actual costs with unit cost/flat-rate elements allowed where specified. Project duration: 36 months. Number of expected grants: 2. Planned opening date: 21 April 2026. Submission deadline: 01 October 2026, 17:00 Brussels time. Submission method: single-stage electronic submission through the EU Funding & Tenders Portal. Paper submissions are not accepted. Part A (administrative) is completed in the Portal; Part B technical description must be uploaded as a PDF. Proposals limited to maximum 70 pages for Part B.
Budget and payments:Indicative topic budget €9 000 000. Maximum grant amount per successful project €4 500 000. Funding rate 50% so co-funding from applicants or other funding sources required to cover the remainder of eligible project costs. Grants are paid via prefinancing, interim payments and final payment according to the data sheet and reporting schedule; prefinancing guarantees may be requested depending on financial capacity checks.
Evaluation, award criteria and process
Deadline model: single-stage. Evaluation follows standard Digital Europe procedures: admissibility/eligibility checks, technical evaluation by experts against award criteria (Relevance, Implementation, Impact). Maximum score: 15 points (Relevance 5, Implementation 5, Impact 5). Individual thresholds: 3/5 per criterion and an overall threshold of 10/15. Evaluations will produce ranking and invitation to grant preparation for successful proposals. Grant preparation includes legal entity validation, financial capacity check and may require amendments to budgets or conditions. Indicative evaluation timeline: evaluation October–November 2026; information on results January–February 2027; grant agreement signature May–June 2027.
Award criteria specifics and exclusions:Award criteria focus on alignment with call objectives, robustness of technical approach, clinical and technical validation plans, data protection and cybersecurity, regulatory strategy, consortium capacity, sustainability and replication across eligible countries, and measurable KPIs. For this topic certain award sub-criteria related to financial obstacles and Green Deal environmental sustainability are explicitly not applicable.
Applicant requirements and checks
Applicants must be legal entities registered in eligible countries, register in the Participant Register and obtain a validated PIC. The granting authority will require ownership control declarations to confirm that beneficiaries are not controlled from ineligible countries. Financial and operational capacity checks will be performed in grant preparation; public bodies and certain small grants are exempt from some checks. Exclusion rules apply (bankruptcy, fraud, breach of social security/tax, grave professional misconduct, sanctions and EU conditionality measures).
- 1Project maturity: proposers must present readiness for deployment and thorough implementation plan; projects that have already been completed will be rejected; projects that have started prior to grant submission require justification.
- 2Consortium agreement: recommended and mandatory in some cases; internal arrangements must not conflict with the Grant Agreement.
- 3Security and ethics: ethics review and possible security scrutiny apply; projects involving EU classified information are subject to special rules and cannot involve TOP SECRET/TRES SECRET information.
- 4IPR and exploitation: background and results management, protection and exploitation plans are required; first exploitation obligations in eligible countries apply for this topic.
Application templates, format and required documents
Applicants must use the EU Grants Application Form (DEP) provided in the Submission System. Part A (administrative information) is filled online. Part B (technical proposal) must be downloaded from the Submission System, completed and re-uploaded as PDF. The standard template imposes a maximum of 70 pages for Part B and specific formatting rules (A4, Arial 9 or larger, margins). Mandatory annexes and documents required at submission are indicated in the Submission System and call document (e.g. ownership control declaration for this topic). Additional supporting documents (legal entity validation, financial statements, prefinancing guarantees, certificates) may be requested during grant preparation.
Typical structure of Part B (technical proposal):Part B should follow the DEP template structure: project summary; 1. Relevance (objectives, contribution to policies, supply chain and synergies); 2. Implementation (maturity, implementation plan, project management, quality assurance, risk management, detailed work packages with tasks, milestones, deliverables, consortium roles and staff profiles, subcontracting justification); 3. Impact (expected outcomes, dissemination, exploitation, benefits for competitiveness and society, environmental considerations where applicable); 4. Work plan and resources (work packages, timeline, person-months, detailed budget per category); 5. Other (ethics, security); 6. Declarations. Attach required annexes listed by the Submission System.
Funding modalities, eligible cost rules and financial details
Form of grant: budget-based mixed actual cost grant. Budget categories: personnel (employees, natural persons under contract, seconded persons, SME owners/natural person beneficiaries), subcontracting, purchase costs (travel and subsistence, equipment, other goods/works/services), other costs (internally invoiced goods/services, financial support to third parties if allowed), indirect costs (flat rate). Personnel costs can use actual daily rates or approved unit-cost approaches tied to usual cost accounting practices. Travel and subsistence normally reimbursed at actual cost. Equipment costs are generally eligible as depreciation; limited cases permit full capitalised costs as specified in the call. Indirect costs flat-rate is 7% of eligible direct costs (A-D except volunteers and exempt categories). VAT: non-deductible VAT may be eligible in line with the Grant Agreement rules. Financial support to third parties is not allowed for this topic (financial support to third parties is explicitly not allowed). Depreciation-only rule applies for equipment unless the call allows full-cost for listed equipment. Subcontracting should be justified and limited; subcontracting beyond 30% of total eligible costs must be justified in application.
Co-funding and no-profit rule:Funding rate is 50%: applicants must provide co-funding to cover non-funded eligible costs. Grants must not produce profit: any revenue generated by the action must be declared and taken into account in the final grant calculation.
Project stage, target sector and expected maturity
Target sectors: health and healthcare (medical imaging/diagnostics), ICT and cloud infrastructure, AI and GenAI, cybersecurity, data protection, medtech, clinical research and regulatory affairs. Expected project maturity: demonstration, large-scale validation, clinical pilot deployment and post-deployment monitoring in real healthcare settings. Projects should present technical solutions ready for clinical piloting and regulatory evidence generation rather than early-stage research only.
Categorisation answers (detailed)
- 1Eligible Applicant Types: Legal entities (public or private) established in eligible countries. Recommended consortium composition includes medical centres (hospitals), medtech industry, SMEs (AI/GenAI developers), large enterprises providing cloud or IT services, universities and research institutes, clinical research organisations, non-profits/patient organisations, governmental/regulatory authorities and other relevant stakeholders. Natural persons (other than self-employed where applicable) and most international organisations are excluded unless specifically allowed. Associated partners and subcontractors allowed in specified roles; affiliated entities may participate under beneficiary control.
- 2Funding Type: Grant. Specifically a Digital Europe Simple Grant (budget-based mixed actual cost grant).
- 3Consortium Requirement: Multi-beneficiary consortium mandatory. Minimum 7 independent beneficiaries from at least 5 different eligible countries. At least one industrial partner required. Financial support to third parties is not allowed for this topic. Associated partners may participate without funding.
- 4Beneficiary Scope (Geographic Eligibility): Only entities established in EU Member States, EEA countries and Switzerland (participation limited to these eligible countries). Project activities and subcontracted work must be carried out in eligible countries unless the granting authority agrees otherwise; ownership/control restrictions apply to entities with ties to ineligible countries.
- 5Target Sector: Health (medical imaging, cancer, cardiovascular), ICT (cloud, interoperability), AI/GenAI, cybersecurity, data protection, medtech, regulatory/HTA evidence generation.
- 6Mentioned Countries: European Union (EU Member States), EEA countries and Switzerland. No specific individual Member States singled out in the topic text; scope refers to EU/EEA/Switzerland. Regionally: Europe / eligible countries of the Digital Europe Programme.
- 7Project Stage: Demonstration, validation and clinical pilot deployment. Projects must perform technical and clinical validation and post-deployment monitoring in real healthcare settings (TRL mature towards deployment).
- 8Funding Amount: Call budget €9,000,000; expected to fund 2 projects; maximum EU contribution €4,500,000 per project. Applicants may request smaller amounts. Funding rate 50% of eligible costs.
- 9Application Type: Single-stage open call submitted electronically via the EU Funding & Tenders Portal (Funding & Tenders Portal submission system). Portal opens planned 21 April 2026; deadline 1 October 2026 17:00 Brussels time. Proposals must use the DEP application templates in the Submission System. Paper submissions not allowed.
- 10Nature of Support: Monetary grants (financial support) to selected beneficiaries. In addition, the action includes non-monetary network support obligations (participation in the European network of AI-powered advanced screening centres), dissemination and workshop activities.
- 11Application Stages: 1 (single-stage submission). Evaluation process includes admissibility/eligibility checks, technical evaluation by experts and ranking; however procedural stages include invitation to grant preparation after selection, legal/financial checks and final grant signature (these are part of grant award processing but submission is single-stage).
- 12Success Rates: Not specified in the call text. Indicative number of grants = 2; competitiveness depends on the number and quality of eligible applications. No explicit historical success rate provided.
- 13Co-funding Requirement: Yes. Funding rate set at 50% means beneficiaries must provide at least 50% of eligible costs from other sources (own funds, national funds, private investment, in-kind contributions where allowed).
- 14Templates: Application forms use the DEP application form. Part A is filled in the Portal (administrative data, participant lists, budget summary). Part B is a narrative technical description using the DEP template to be downloaded from the Submission System and re-uploaded as PDF. Part B structure: cover page, project summary, 1. Relevance (objectives & activities, policy alignment and synergies, technology supply chain), 2. Implementation (maturity, implementation plan, project management & quality assurance, risk analysis, consortium capacity), 3. Impact (expected outcomes, dissemination & exploitation, societal benefits), 4. Work plan & resources (work packages, timeline, staff effort, subcontracting, equipment, other costs), 5. Other (ethics, security), 6. Declarations. Required annexes and mandatory documents (e.g. ownership control declaration) will be available in the Submission System. Part B limited to 70 pages; supporting annexes uploaded separately. See DEP application form templates and DEP Model Grant Agreement (MGA DEP) files referenced in the call documentation.
Important operational conditions and obligations: multi-beneficiary applications are mandatory. Security restrictions under Article 12(6) of the Digital Europe Regulation apply to this topic and restrictions for protection of European digital infrastructures and supply chains apply. Specific procurement and IP limitations apply, including first exploitation obligations in eligible countries and limitations on transfers/licensing where security or strategic autonomy restrictions are activated. Equipment cost reimbursement rule: depreciation only for this topic unless the call indicates otherwise. The action foresees specific deliverables and a mandatory additional dissemination/exploitation deliverable within the first six months of the project. Ethics and data protection compliance (GDPR) and an ethics review are required for proposals involving human data, clinical activities or AI systems.
How to prepare a competitive proposal (summary of best-practice pointers)
- 1Assemble the required multi-country consortium early: at least 7 independent beneficiaries across 5 eligible countries and include clinical partners (medical centres) from different national health systems to demonstrate replicability.
- 2Clearly define medical use cases (cancer and/or cardiovascular focus), datasets to be used and evidence of data access agreements and GDPR compliance.
- 3Present technical architecture: cloud environment, identity and access management, interoperability with EHR/PACS/RIS, cybersecurity measures and privacy-preserving data processing.
- 4Provide a detailed clinician-in-the-loop workflow showing how AI outputs are validated, triaged and acted upon in clinical care pathways; include clinical evaluation and post-market follow-up plans for regulatory approval.
- 5Define KPIs (mandatory ones and additional targets), measurable endpoints for clinical performance, usability, cost-efficiency and workshop satisfaction metrics; specify sample sizes and validation datasets.
- 6Include a clear sustainability and replication plan for national uptake and describe how national/regional funds or private funding would be mobilised for scale-up after the pilot.
- 7Address interoperability standards, reuse of TEF for Health validated solutions where applicable, and linkages to European health data infrastructures.
- 8Prepare comprehensive data protection and cybersecurity documentation and an ethics dossier; plan for an ethics review and, if relevant, security facility clearance steps.
- 9Follow the DEP Part B template strictly, respect the 70-page limit for Part B, and upload all mandatory annexes via the Submission System.
- 10Ensure ownership control declarations and any required guarantees for participants with non-standard ownership structures are completed at proposal submission.
Contact and support: For call-specific enquiries use the provided contact address CNECT-A6@EC.EUROPA.EU. Use the Funding & Tenders Portal Online Manual, Portal FAQ and IT Helpdesk for procedural and submission support. Consult the Model Grant Agreement (DEP MGA), DEP call document and DEP application templates available in the Portal Reference Documents for full legal, financial and procedural rules 1.
Footnotes
- 1Primary call documentation and templates available on the EU Funding & Tenders Portal: Apply AI: Piloting AI-based image screening in medical centres DIGITAL-2026 and the Call document and annexes (DEP) published on the Portal. Call document and application templates should be consulted for full details and legal provisions.
Short Summary
Impact Deploy scalable, trustworthy cloud-based AI/GenAI systems for medical imaging that are integrated into clinical workflows, clinically validated in real healthcare settings, produce regulatory and HTA-grade evidence (including cost-efficiency), and support sustained EU-wide uptake via a network of advanced screening centres. | Impact | Deploy scalable, trustworthy cloud-based AI/GenAI systems for medical imaging that are integrated into clinical workflows, clinically validated in real healthcare settings, produce regulatory and HTA-grade evidence (including cost-efficiency), and support sustained EU-wide uptake via a network of advanced screening centres. |
Applicant Teams with demonstrated ability in clinical AI/GenAI development and validation, secure cloud architecture and privacy-preserving data handling, health IT interoperability (EHR/PACS/RIS), clinical trial/pilot deployment, regulatory/HTA strategy, cybersecurity and project consortium management. | Applicant | Teams with demonstrated ability in clinical AI/GenAI development and validation, secure cloud architecture and privacy-preserving data handling, health IT interoperability (EHR/PACS/RIS), clinical trial/pilot deployment, regulatory/HTA strategy, cybersecurity and project consortium management. |
Developments Large-scale clinical pilots of cloud-based AI/GenAI medical imaging screening solutions focused on cancer and cardiovascular use cases, including clinician-in-the-loop workflows, interoperability with health IT, privacy-preserving infrastructure, post-deployment monitoring and cost-efficiency evidence for regulators/HTA. | Developments | Large-scale clinical pilots of cloud-based AI/GenAI medical imaging screening solutions focused on cancer and cardiovascular use cases, including clinician-in-the-loop workflows, interoperability with health IT, privacy-preserving infrastructure, post-deployment monitoring and cost-efficiency evidence for regulators/HTA. |
Applicant Type This funding is designed for profit SMEs/startups, large corporations, researchers, government organizations and NGOs/non-profits active in healthcare, medtech, AI/GenAI and health data infrastructure. | Applicant Type | This funding is designed for profit SMEs/startups, large corporations, researchers, government organizations and NGOs/non-profits active in healthcare, medtech, AI/GenAI and health data infrastructure. |
Consortium Multi-beneficiary consortia are mandatory: at least 7 independent beneficiaries from minimum 5 different eligible countries, including at least one industrial partner and multiple medical centres. | Consortium | Multi-beneficiary consortia are mandatory: at least 7 independent beneficiaries from minimum 5 different eligible countries, including at least one industrial partner and multiple medical centres. |
Funding Amount Total call budget €9,000,000, expected to fund up to 2 projects with a maximum EU contribution of €4,500,000 per project and a funding rate of 50% of eligible costs (36-month projects). | Funding Amount | Total call budget €9,000,000, expected to fund up to 2 projects with a maximum EU contribution of €4,500,000 per project and a funding rate of 50% of eligible costs (36-month projects). |
Countries Participation is limited to entities established in EU Member States, EEA countries and Switzerland, with security/ownership restrictions excluding control from non-eligible countries. | Countries | Participation is limited to entities established in EU Member States, EEA countries and Switzerland, with security/ownership restrictions excluding control from non-eligible countries. |
Industry Digital Europe Programme (AI Continent / Apply AI strategy), targeting the health/medical imaging and AI/GenAI policy area. | Industry | Digital Europe Programme (AI Continent / Apply AI strategy), targeting the health/medical imaging and AI/GenAI policy area. |
Additional Web Data
EU Funding Opportunity: Apply AI: Piloting AI-based image screening in medical centres
This call under the Digital Europe Programme DIGITAL-2026 funds the deployment of scalable cloud-based AI/GenAI systems for medical imaging analysis in healthcare settings, focusing on cancer and cardiovascular diseases. Projects must demonstrate integration into clinical workflows, clinical validation, and evidence generation for regulatory approval and health technology assessment (HTA).
Key Dates and Budget
Planned opening date:21 April 2026
Deadline:1 October 2026, 17:00 Brussels time (single-stage submission)
Total budget:€9,000,000 (expected to fund 2 projects, maximum EU contribution of €4,500,000 per project)
Project duration:36 months
Funding rate:50% of eligible costs (Simple Grants)
Objectives and Scope
Projects must implement replicable, scalable cloud-based AI/GenAI systems using European trustworthy and safe algorithms trained on large patient datasets. Systems must integrate seamlessly into clinical workflows, interoperate with health IT infrastructure (e.g., EHR, PACS, RIS), and undergo large-scale validation in real healthcare settings across multiple eligible countries. Focus disease areas are cancer and cardiovascular diseases. Emphasis on clinician validation of AI findings, cost-efficiency evidence for regulatory/HTA purposes, and deployment of solutions tested in the TEF for Health where relevant.
Expected Outcomes and Deliverables
- One or more proofs-of-concept of replicable, scalable AI/GenAI systems for medical imaging analysis, demonstrating clinician validation and workflow integration.
- Evidence-based analysis of (cost-)efficiency for regulatory and HTA purposes.
- Two or more events/workshops per year per project for the European network of AI-powered advanced screening centres, with participant satisfaction measured.
- Medical centres in the consortium joined the European network under the Apply AI Strategy.
- Plan for regulatory approval, including risk management, clinical evaluation, and post-market follow-up.
- Detailed data protection and cybersecurity plan compliant with EU frameworks.
- Sustainability plan for EU-wide uptake.
- Stakeholder engagement and dissemination report with KPIs.
Key Performance Indicators (KPIs)
- Number of medical centres (at least 5 from different eligible countries) where AI/GenAI systems are integrated.
- Number of European AI/GenAI algorithms validated by clinicians for regulatory evidence.
- Average participant satisfaction rate exceeding 80% for network events/workshops.
- Number of AI/GenAI algorithms submitted for regulatory approval post-validation.
- Additional KPIs proposed by applicants.
Eligibility and Consortium Requirements
Legal entities established in EU Member States, EEA countries, or Switzerland (limited participation). Multi-beneficiary applications mandatory: minimum 7 independent beneficiaries from 5 different eligible countries, including at least one industrial partner. Medical centres must join the European network of AI-powered advanced screening centres. Public/private entities such as healthcare organisations, medtech industry, SMEs, AI developers, IT providers, research organisations, authorities, and NGOs representing patients/healthcare professionals.
Specific Conditions
- Security restrictions under Article 12(6) of Digital Europe Regulation: entities must not be controlled from non-eligible countries.
- Restrictions for protection of European digital infrastructures/supply chains.
- Equipment costs: depreciation only.
- First exploitation obligations.
- Certain award criteria not applicable (financial obstacles, environmental sustainability).
Evaluation Criteria
| Criterion | Max Score | Threshold |
|---|---|---|
| Relevance | 5 | 3/5 |
| Implementation | 5 | 3/5 |
| Impact | 5 | 3/5 |
| Overall | 15 | 10/15 |
Eligible Costs
- Personnel costs (actual or average unit costs per usual accounting practices).
- Subcontracting costs (limited; must be in eligible countries).
- Purchase costs (travel/subsistence actual; equipment depreciation only).
- Other costs (internally invoiced goods/services as unit costs).
- Indirect costs: 7% flat-rate of eligible direct costs.
- VAT: non-deductible/non-refundable eligible.
Financial support to third parties not allowed. Country restrictions for eligible costs and subcontracting apply.
Submission and Contact
Submit electronically via EU Funding & Tenders Portal. Proposal page limit: 70 pages (Part B). Contact: CNECT-A6@ec.europa.eu. Official topic page: EU Funding Portal. Call document: Call Fiche.
Targeted Stakeholders
- Healthcare providing organisations.
- Medtech industry and SMEs.
- AI/GenAI developers and IT solution providers.
- Research organisations.
- Governmental authorities (national/regional/local).
- NGOs representing patients and healthcare professionals.
Projects must leverage existing infrastructures (e.g., Cancer Image Europe, HealthData@EU) and ensure compliance with EU AI Act, data protection, and cybersecurity standards. Consortium must include medical centres from multiple countries and reserve budget for network activities.
Footnotes
- 1Detailed conditions (admissibility, eligibility, evaluation, award criteria, legal/financial set-up) in sections 5-10 of the call document.
Update Log
No updates recorded yet.
Discover with AI
Let our intelligent agent help you find the perfect funding opportunities tailored to your needs.
EU Grant Database
Explore European funding opportunities in our comprehensive, up-to-date collection.
Stay Informed
Get notified when grants change, deadlines approach, or new opportunities match your interests.
Track Your Favorites
Follow grants you're interested in and keep them organized in one place. Get updates on changes and deadlines.
Advanced Digital Skills for AI Uptake in Health
This call under the Digital Europe Programme (DIGITAL-2026-SKILLS-10-DIGITAL-HEALTH-STEP) funds projects to design, deliver and scale advanced AI training for healthcare professionals and technical staff in cooperation with the European...
Towards Artificial General Intelligence (AGI) for healthcare
The Horizon Europe funding opportunity HORIZON-HLTH-2027-03-TOOL-08, titled "Towards Artificial General Intelligence (AGI) for Healthcare," is a Coordination and Support Action (CSA) aimed at the development of next-generation artificial...
International cooperation in AI (IA)
This EU funding opportunity is a part of the Horizon Europe program, specifically under the Digital call (HORIZON-CL4-2027-04). It is classified as an Innovation Action (HORIZON-IA) aimed at fostering international cooperation in Artific...
Enhancing integrated research and healthcare in sub-Saharan Africa through digital innovation and Artificial Intelligence
The opportunity, titled HORIZON-JU-GH-EDCTP3-2026-03-DIGIT-02, is a grant initiative under the Horizon Europe program aiming to enhance integrated research and healthcare delivery in sub-Saharan Africa through digital innovation and arti...
Large scale operational validation and upscaling of state-of-the-art (Generative) AI tools and models powering a next generation digital energy system
The Horizon Europe funding opportunity identified as HORIZON-CL5-2027-02-D3-24 focuses on substantial investments aimed at the large-scale operational validation and upscaling of state-of-the-art generative AI tools and models within the...
Efficient and compliant access to and use of data (IA) (AI, Data and Robotics partnership)
The Horizon Europe funding opportunity titled "Efficient and compliant access to and use of data," referenced as HORIZON-CL4-2026-04-DATA-06, is designed to foster the development and deployment of secure, interoperable, and scalable dat...
EU Frontier AI Initiative: Developing frontier AI solutions that are safe and computationally efficient within Apply AI (RIA)
The EU Frontier AI Initiative focuses on developing safe and computationally efficient frontier AI solutions under the Horizon Europe program, specifically in the DIGITAL sector. The primary funding mechanism is a grant, categorized as a...
AI-Powered Signal Detection in Pharmacovigilance
The EU funding opportunity known as HORIZON-JU-IHI-2025-11-03-two-stage focuses on enhancing pharmacovigilance through the use of Artificial Intelligence (AI) for signal detection and risk prediction related to medicinal products. This c...
Energy efficiency and sustainability of AI data processing in Data Centres (IA)
The grant opportunity is titled HORIZON-CL4-2027-04-DATA-09, focusing on "Energy efficiency and sustainability of AI data processing in Data Centres" within the Horizon Europe Innovation Actions framework. The status of this call is fort...
Phase 1 including first-in-human clinical trials to test biomarker-guided medicines or multi-modal treatment interventions for patients with rare or very rare cancers or cancer subtypes
HORIZON-MISS-2027-02-CANCER-03 is a Horizon Europe Research and Innovation Action under the EU Cancer Mission funding Phase 1, including first-in-human, multicentre clinical trials of biomarker-guided medicines or multi-modal interventio...
AI4Creatives Support Platform: embracing a fair AI revolution
The grant opportunity titled "AI4Creatives Support Platform: embracing a fair AI revolution" falls under the Horizon Europe framework, specifically aimed at establishing a European virtual AI support platform for the cultural and creativ...
Pre-commercial procurement of affordable solutions for healthcare systems in the areas of cancer technologies, cancer medical devices, or cancer medicines
Horizon Europe topic HORIZON-MISS-2027-02-CANCER-05 funds pre-commercial procurement (PCP) consortia of public procurers to develop and clinically validate affordable cancer technologies, medical devices, or medicines that improve outcom...