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EC Digital Europe Programme Apply AI Piloting AI-Based Image Screening in Medical Centres for Cancer and Cardiovascular Diagnostics is sponsored by European Commission (Digital Europe Programme, GenAI4EU initiative). Under the European Commission's GenAI4EU initiative and the Digital Europe Programme, this call (DIGITAL-2026-AI-PILOTING-10-SCREENING) supports the development, deployment, and large-scale clinical validation of cloud-based AI systems for medical image screening across European…
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Digital Europe Programme (DIGITAL) DIGITAL-SIMPLE DIGITAL Simple Grants DIGITAL Action Grant Budget-Based [DIGITAL-AG] 01 October 2026 17:00:00 Brussels time 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). 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.
The submission session is now available for: DIGITAL-2026-AI-PILOTING-10-SCREENING #### 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.
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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 Simple Grants [DIGITAL-SIMPLE], DIGITAL Action Grant Budget-Based [DIGITAL-AG] Please read carefully all provisions below before the preparation of your application.
According to the current listing, eligibility includes: Consortia of legal entities established in EU Member States, EEA countries, or associated countries of the Digital Europe Programme. Confirm the full requirements in the official notice before applying.
The current listing shows €9 million total programme budget (approximately $9.7 million USD). Individual project budgets typically €2 million to €5 million (approximately $2200000 to $5400000 USD) per consortium with EU co-financing rates of 50 to 100 percent depending on participant type. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for EC Digital Europe Programme Apply AI Piloting AI-Based Image Screening in Medical Centres for Cancer and Cardiovascular Diagnostics are due October 1, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
EC Digital Europe Programme Apply AI Piloting AI-Based Image Screening in Medical Centres for Cancer and Cardiovascular Diagnostics is funded by European Commission (Digital Europe Programme, GenAI4EU initiative). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
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