AI-driven healthcare solutions often rely on large datasets and complex algorithms, yet meaningful user involvement remains limited. This session explores how integrating patient voices, ethical perspectives, and clinical insights can lead to more responsible and effective AI tools in healthcare. No prior knowledge of patient involvement is needed to attend this session.

We will discuss:

• How structured user panels can shape AI development from a patient-centered perspective.
• The ethical challenges of user involvement in AI and data science, and how this shapes accountability and governance.
• A clinical and research-based perspective on involving users in data-driven healthcare innovation, including challenges and opportunities.

Speakers

Annemette Lundmark Jensen, Project manager, Danish Patients
User Panels and Patient Involvement
Addressing the importance of user involvement in research projects. Insights from or- ganising and facilitating user panels in research projects, from including patients in the fundraising process to the value of actively engaging with patients in research project.

Associate Professor Sune Holm, University of Copenhagen
Ethics, AI, and User Involvement: Challenges and Imperatives
Exploring the ethical significance of user engagement in AI research, including issues such as legitimacy, trust, and responsible innovation in healthcare and AI research.

Professor and chief physician Espen Jimenez Solem, Bispebjerg and Frederiksberg Hospital
User involvement in health data research projects – from the perspective of a researcher and physicians
Insights from the valuable input from user panels in research projects (e.g. the PHAIR project1), including practical experiences and lessons learned in integrating patient input into research activities involving health data and AI.

Program

Introduction (5 minutes)
By moderators Mads Nielsen and Thomas Leth Jensen

Three presentations (20 minutes each)

Panel discussion and audience Q&A (20 minutes)

Closing remarks (5 minutes)

Session moderators:

• Thomas Leth Jensen, MD, PhD Fellow, Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital
• Professor Mads Nielsen, P1 Collaboratory Co-Lead, Department of Computer Science, University of Copenhagen