Partners
RISK-AI brings together five core partners from Norway, Denmark, Finland and Latvia, including universities, e-health research centres and university hospitals.
NTNU is one of the largest universities in Norway, with strong expertise in digitalisation, health technology and interdisciplinary AI research. In RISK-AI, NTNU coordinates the consortium and leads the conceptual work on Responsible Risk, linking regulatory, organisational and clinical perspectives on AI risk in healthcare. NTNU also hosts the PhD position embedded in WP3 and oversees overall project management and scientific integration.
The Norwegian Centre for E-health Research is a national research centre located in Tromsø, specialising in digital health, data-driven services and e-health infrastructure. NSE brings extensive experience in data analytics, privacy-preserving technologies, clinical decision support and digital health technology assessment. In RISK-AI, NSE contributes to the analysis of AI risks and to the development and evaluation of frameworks and tools for safe and responsible AI implementation in healthcare.
The University of Oulu has a strong profile in digital health, information systems and human-centred technology design. Researchers from UniOulu have contributed significantly to AI in healthcare, patient-generated health data and regulatory aspects of digital health. In RISK-AI, UniOulu supports the conceptual work on Responsible Risk, contributes methodological expertise to the MAS-AI extension, and plays a key role in capacity building and education activities across the Nordic–Baltic region.
Odense University Hospital is one of Denmark’s largest university hospitals and a leading institution in the development and evaluation of AI in clinical practice. OUH has been central in developing the MAS-AI framework (Model for Assessing the value of AI) and has extensive experience with clinical AI trials and implementation studies. In RISK-AI, OUH leads the Dissemination and Communication work package, contributes clinical expertise to the pilot use cases, and drives the further development and testing of the MAS-AI framework with the integrated Responsible Risk concept.
The University of Latvia is a key academic institution in the Baltic region, with strong competences in computer science, data science and medical research collaborations. UL and its clinical partners, including Riga East University Hospital, provide access to real-world healthcare settings and AI use cases. In RISK-AI, UL leads and hosts one of the clinical pilot cases, contributes to the empirical grounding of Responsible Risk in a Baltic context, and supports the validation of the updated MAS-AI framework.
Vestre Viken is one of Norway’s largest healthcare trusts, serving approximately 500,000 people, and is a national leader in adopting CE-marked AI technologies, particularly in medical imaging. In RISK-AI, VV contributes as a clinical use case partner by providing access to deployed AI solutions, stakeholders and real-world healthcare settings, supporting empirical studies of AI risk and implementation in practice. Bjørn Anton Graff coordinates VV’s involvement and facilitates access to clinical environments and project activities.
