Apply AI: Piloting AI-based image screening in medical centres

Expected Impact: na Expected Outcome: Outcomes and deliverables One or more proofs-of-concept of replicable, scalable cloud-based AI/GenAI systems for analysis of medical imaging data in a healthcare setting, with demonstration of the role of the clinicians in validating AI/GenAI findings and reports showcasing seamless integration of the system into clinical workflows. Evidence-based analysis of (cost-)efficiency of the piloted solutions for healthcare systems for regulatory and HTA purposes. Two or more events or workshops organised per year and per project for the European network of AI-powered advanced screening centres. The agenda should include lessons learned from the project activities, as well as other items relevant to the network. Participant satisfaction rates should be measured for the events and workshops. Medical centres in the consortium joined the European network of AI-powered advanced screening centres under the Apply AI Strategy. A plan for obtaining regulatory approval for application of the AI/GenAI solutions in real life scenarios and clinical settings. This includes the required risk management and compliance activities, as well as clinical evaluation plans and post-market clinical follow-up. Detailed data protection and cybersecurity plan, with measures to secure sensitive health data, mitigate cybersecurity risks, and comply with EU legal and ethical frameworks. Sustainability plan for the uptake of the systems across the EU. Stakeholder engagement a…bron

• Implementatie van schaalbare cloud-gebaseerde AI/GenAI-systemen voor analyse van medische beeldvormingsgegevens in gezondheidszorg
• Systemen moeten Europese betrouwbare en veilige AI/GenAI-algoritmen gebruiken
• Veilige, privacybeschermende cloudomgeving vereist voor gezondheidsgegevensanalyse
• Naadloze integratie in reguliere klinische workflows van betrokken zorginstellingen
• Interoperabiliteit met gezondheids-IT-infrastructuur (EHR, PACS, RIS) moet worden aangepakt
• Technische en klinische validatie van systemen in echte gezondheidszorginstellingen
• Focus op ziektegebieden kanker en cardiovasculair
• Bewijs van kostenefficiëntie voor regelgeving en HTA-doeleinden

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Aanvraag via Funding & Tenders Portal; evaluatie volgens call document sectie 8-9; voorwaarden in call document secties 5-10.

• Apply AI: Piloting AI-based image screening in medical centresEU-portaal (SEDIA) · ec.europa.eu7 jul 2026
  Toon brontekst

  Apply AI: Piloting AI-based image screening in medical centres
  
  Topic: DIGITAL-2026-AI-PILOTING-10-SCREENING
  Call: DIGITAL-2026-AI-PILOTING-10 — AI Continent
  Programma: Digital Europe Programme (2021 - 2027)
  
  == Beschrijving ==
  Expected Impact:
  na
  Expected Outcome:
  Outcomes and deliverables
  One or more proofs-of-concept of replicable, scalable cloud-based AI/GenAI systems for analysis of medical imaging data in a healthcare setting, with demonstration of the role of the clinicians in validating AI/GenAI findings and reports showcasing seamless integration of the system into clinical workflows.
  Evidence-based analysis of (cost-)efficiency of the piloted solutions for healthcare systems for regulatory and HTA purposes.
  Two or more events or workshops organised per year and per project for the European network of AI-powered advanced screening centres. The agenda should include lessons learned from the project activities, as well as other items relevant to the network. Participant satisfaction rates should be measured for the events and workshops.
  Medical centres in the consortium joined the European network of AI-powered advanced screening centres under the Apply AI Strategy.
  A plan for obtaining regulatory approval for application of the AI/GenAI solutions in real life scenarios and clinical settings. This includes the required risk management and compliance activities, as well as clinical evaluation plans and post-market clinical follow-up.
  Detailed data protection and cybersecurity plan, with measures to secure sensitive health data, mitigate cybersecurity risks, and comply with EU legal and ethical frameworks.
  Sustainability plan for the uptake of the systems across the EU.
  Stakeholder engagement and dissemination report with measurable actions (KPIs).
  Scope:
  Each project awarded in this action should implement a scalable cloud-based AI/GenAI system running European trustworthy and safe AI/GenAI algorithms that were developed, trained and validated using very large sets of patient data. They should put in place a secure, privacy-preserving cloud environment required for the health data analysis tasks, with appropriate access and identification tools for authorised use only, and implement the whole system as described under this topic, seamlessly integrated in regular clinical workflows of the care settings involved. Interoperability and the need to communicate with the health IT infrastructure (e.g. the electronic health record (EHR) of the patient, Picture archiving and communication systems (PACS), Radiological Information Systems (RIS), etc.) need to be addressed.
  The projects should demonstrate the integration and large-scale validation of cloud-based AI/GenAI systems, following a thorough assessment and testing over a large number of patient test cases in real healthcare settings. The proposers are expected to choose the types of health data, the AI/GenAI algorithms that are trustworthy and secure, and the medical use cases, with the focus disease areas being cancer and cardiovascular. The projects should perform technical and clinical validation of the systems, generating evidence on AI systems’ performance and usability in different clinical settings. They shall use the AI systems for screening in clinical settings, perform local performance evaluation and post-deployment monitoring of the solutions, including evidence generation on cost-efficiency in view of regulatory requirements and health technology assessment (HTA). Whenever relevant, each project should deploy AI/GenAI solutions already tested and validated within the TEF for Health.
  
  == Voorwaarden (topic conditions) ==
  ">
  Conditions
  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 eligibility 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:
  Call document
  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)
  DEP MGA
  Additional documents:
  DEP Work Programmes
  DEP Regulation 2021/964
  EU Financial Regulation 2024/2509
  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