Clinical AI – the use of AI solutions in diagnostics or clinical setting
Explore how clinical AI is revolutionizing diagnostics and healthcare. Join us to discover next-gen AI technologies and the human perspectives essential for transforming patient care.
The Clinical AI track will explore AI integration in healthcare, featuring insights for experts, clinicians, and companies.
Sessions:
- Trustworthy Machine Learning: Philippe Rostalski on AI model reliability in diagnostics.
- AI in CTG Monitoring: Harshit Mahapatra on AI detecting fetal distress.
- AI Regulation: Erik Stenberg on the AI Act’s impact.
- Implemented Case: Aalborg University Hospital’s real-world AI applications.
- Change Management: Thomas Karopka on AI in diagnostics.
- Debate: Moderated by Frederik Mølgaard Thayssen on AI safety, transparency, and barriers.
Program
1) Welcome and introduction
by/ Carina Østervig Byskov, Innovationsklinikken/ Aalborg University Hospital
2) Trustworthy Machine Learning for Medical Diagnostics
by/ Phillipe Rostalski, Fraunhofer IMTE.
3) Detecting Anomalous Patterns in CTGs using AI
by/ Harshit Mahapatra, Alexandra Institute.
4) How does the AI Act affect the development of new AI diagnostic solutions in the clinic?
by/ Erik Stenberg, Innovation Skåne
5) Implemented Case
The session will also feature an additional case from Aalborg University Hospital
6) There is no AI for this – How to Implement AI in the Clinical Diagnostic Workflow
by/ Thomas Karopka, Biocon Valley
7) Debate
Moderator: Frederik Mølgaard Thayssen from the Alexandra Institute
Speakers
