SPKI Senter for pasientnær kunstig intelligens

The Norwegian Centre for Clinical Artificial Intelligence

Established in collaboration between the University Hospital of North Norway (UNN), UiT The Arctic University of Norway and Helse Nord RHF


SPKI is The Norwegian centre for clinical artificial intelligence, which has been established in collaboration between The University Hospital of North Norway (UNN), UiT The Arctic University of Norway and Helse Nord RHF.

The ambition of SPKI is to facilitate development and use of clinical decision support tools based on artificial intelligence by connecting clinical expertise with researchers on machine learning and technology.

Do you want to work for us? We are hiring two data scientists. Read more here.

SPKI is now officially open

The centre was officially opened in June at The Midnight Sun Conference in Tromsø. Here you can find some news stories and a video recording of the event.

Midnight sun conference

In June, we were hosting The Midnight Sun Conference for Patient-Centered Artificial Intelligence. Click on the link below to find slides and recordings from the conference.

Bi-weekly seminars

SPKI and Visual Intelligence arrange regular meetings every other Tuesday from 1430 to 1600 for researchers, clinicians and other people with an interest in AI and healthcare.

New strategy for AI

As the first regional health authority, Helse Nord RHF has adopted a strategy for AI. The most important organizational measure in the strategy is to establish SPKI.

Nordic cooperation on AI

SPKI and the Danish centre for clinical artificial intelligence, CAI-X, have entered a strategic cooperation on clinical AI. Read more about CAI-X and other collaborators here.

Read more about our publications and the media coverage of our projects here.


Networking and collaboration are very important when working with research, innovation and new technology.

Our team consists of the leading competence on medical AI in Tromsø and we have a large national and international network.

We want to make it easier to find and reach out to partners on machine learning for health and medical AI.