An interdisciplinary research centre at AAU SUND that develops and applies AI solutions in healthcare – from research to clinical practice.

The Centre for AI in Health expects all participants, speakers, organisers, and attendees to contribute to a safe, respectful, and inclusive environment.

Organisers are responsible for ensuring that this Code of Conduct is communicated and upheld throughout the workshop and for promptly addressing and reporting any violations that come to their attention.

Code of Conduct

• Develop and qualify use cases
• Establish collaborations
• Form the basis for projects and funding applications

Yes, if you:

• work within healthcare 
• have an idea or would like to develop one and see the potential of AI
• are interested in cross-disciplinary collaboration

A concrete application of AI to solve a real-world problem. Examples include:

• Better decision support
• Smarter workflows
• More effective use of data

In short, use cases support an implementation-focused approach that bridges research and clinical practice.

• Professor Kjetil Taskén (University of Oslo) shares his experience in building strong research environments and developing shared research capabilities. The video offers inspiration and perspectives on the themes we will be exploring during the workshop in Rebild. ▶ Watch the video here 
• Dean Karina Dahl Steffensen shares her perspective on AI in Health and the opportunities that lie ahead as the Centre for AI in Health is established. What does it take to build a research centre that brings together strong academic environments, advances research, and creates value for patients and healthcare systems, both now and in the future?  ▶ Watch the video here 
• Charlotte Bagger Tranberg, Founder and CEO of Lex Futura, shared an external perspective on legal compliance in AI and healthcare research. Her presentation highlighted key legal and regulatory considerations and the importance of addressing compliance early in the design and development of AI solutions.            ▶ Watch the slides here 
• Philip Awadalla, Associate Director at the Big Data Institute, University of Oxford, shared insights into how strong research infrastructures, interdisciplinary collaboration and data-driven approaches can accelerate the development of AI in healthcare. Drawing on international experience, he highlighted the importance of shared capabilities and cross-organisational collaboration in strengthening research, innovation and implementation. ▶ Watch the presentation here
• André Dekker, Medical Physicist at MAASTRO Clinic and Maastricht University, shared insights into how healthcare data and artificial intelligence can support research, innovation and development in healthcare. Drawing on international experience, he highlighted the opportunities to transform data into new knowledge, strengthen collaboration between research and clinical practice, and accelerate innovation across the healthcare sector. ▶ Watch the presentation here

• The healthcare sector of the North Denmark Regions 
• AAU SUND

• Contribute with use cases
• Co-develop grant applications
• Participate in networks and events

• Website
• Publications and news
• Events
• LinkedIn

Our research activities focus on:

• Data security and personal data protection
• Ethics
• Transparency
• Responsible use of AI

The Rules of Procedure outline the key principles that guide the work of the Steering Committee. They define the Committee’s role, responsibilities, decision-making authority, and operating procedures, supporting the strategic direction and continued development of the Center.

Rules of Procedure for the Steering Committee of the Centre for AI in Health