Join the inaugural meeting of the Health-AI Network

Earlier this year, the Faculty of Health Sciences established the Health-AI Network to bring together researchers working with artificial intelligence in health.

The network aims to make it easier to share experiences, establish new collaborations and gain an overview of the faculty’s AI expertise and resources.

The network is now inviting researchers to its inaugural meeting at the Aarhus Institute of Advanced Studies (AIAS).

From language models to medical images

Vice-dean Lise Wogensen Bach will open the event, after which the Health-AI Network chairs, Professor Stine Korreman from the Department of Clinical Medicine and Associate Professor Adam Hulman from the Department of Public Health, will outline the network’s ambitions.

Professor Kristoffer Laigaard Nielbo from the Center for Humanities Computing at Arts will then address some of the major questions surrounding AI today. In his keynote, Building AI in the Open: Language Models, Public Infrastructure and Society, he will focus on language models, public digital infrastructure and the role of AI in society.

Researchers from the faculty and its partner organisations will then present examples of AI research already under way. The short presentations will cover topics ranging from clinical and molecular data to language models, medical images and the use of AI in healthcare practice.

“We want to showcase the breadth of AI research taking place around us. We work with different types of data, methods and clinical challenges, but many of us encounter the same methodological and practical questions. The inaugural meeting is an opportunity to identify areas where our work intersects,” says Stine Korreman, Professor at the Department of Clinical Medicine and Chair of the Health-AI Network.

It is also about making connections

One of the aims of the Health-AI Network is to make research more visible and create connections across departments, disciplines and research environments.

Time has therefore been set aside for networking, and the event will conclude with a poster session and reception. Here, participants can discuss specific projects, exchange experiences and begin exploring new collaborations.

PhD students, postdocs and other early-career researchers in particular are encouraged to submit an abstract for a poster on their ongoing AI research. The poster session will help showcase and map the AI research taking place across Aarhus University. Abstracts can be submitted until 13 October via the registration page.

“We hope participants will leave with both new academic inspiration and new contacts. You do not have to develop AI methods yourself to have something to contribute. The network should be a place where researchers with different skills and perspectives can connect – and perhaps discover opportunities for collaboration that they were not previously aware of,” says Adam Hulman, Associate Professor at the Department of Public Health and Chair of the Health-AI Network.

The Health-AI Network is open to everyone, including researchers and healthcare professionals across Aarhus University and Aarhus University Hospital, as well as representatives from industry, whether they develop AI methods, use AI or are simply curious about its potential in their research.

Register by 13 October 2026 on the network website.

Contact

Network Coordinator Anja P. Einholm
Aarhus University, Faculty of Health – Faculty Secretariat
Phone: +45 93 50 84 08
Email: ape@au.dk