Apply AI: Piloting AI-based image screening in medical centres
Open
Status as published by the data source.
Expected Impact:
naExpected 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.
- Status
- Open
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €9,000,000
- Country
- European Union (EU-wide)
- Programme
- Digital Europe Programme (DIGITAL)
- Official page
- Open at the source portal
Other calls under Digital Europe Programme (DIGITAL)
- Building capacity to deploy the EEHRxF and digital health services and systems to support the rights of citizens and reuse of health data under EHDS
- Support to Dissemination and Exploitation (D&E) for the Digital Europe Programme
- Ensuring comprehensive geographical coverage of the Network of Safer Internet Centres (SICs)
- Digital solutions for regulatory compliance through data
- EdTech Accelerator
- Digital Skills and Jobs Platform: The National Coalitions for Digital Skills and Jobs
- Advanced Digital Skills for AI Uptake in Health
- Research Support Framework for Situational Awareness on information integrity
All calls under this programme
Similar opportunities
- Towards Artificial General Intelligence (AGI) for healthcare
- Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)
- Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and Adoption (IA) (Partnership in AI, Data and Robotics)
- Advanced Digital Skills for AI Uptake in Health
- EU Frontier AI Initiative: Developing frontier AI solutions that are safe and computationally efficient within Apply AI (RIA)
- Large scale operational validation and upscaling of state-of-the-art (Generative) AI tools and models powering a next generation digital energy system
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/digital-2026-ai-piloting-10-screening.json
- Document fingerprint
61aa95b0228aebd8(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/digital-2026-ai-piloting-10-screening on
- currency first recorded as EUR on
- amount_max first recorded as 0.00 on
- amount_min first recorded as 0.00 on
- budget_total first recorded as 9000000.00 on
- deadline first recorded as 2026-10-01 on
- opens_on first recorded as 2026-04-21 on
- published_on first recorded as 2026-02-16 on
- status_basis first recorded as source_status on
- status first recorded as open on
- title first recorded as Apply AI: Piloting AI-based image screening in medical centres on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Tue, 21 Apr 2026 10:02:53 GMT.
Personal data of natural persons has been dissociated by quiescence.eu.
This service is not affiliated with, sponsored or endorsed by the data publishers.