Abstract
Artificial Intelligence has been of great interest in the healthcare domain where large amounts of data are available and its usage promises an improvement in providing state-of-the-art healthcare services. However, developing novel and relevant services require a close collaboration between medical and AI professionals. In this talk, I will present how we created AI-driven eHealth applications for patients and decision support tools for clinicians that supplement todays care pathways. In particular, I will talk about the recently finished H2020 projects selfBACK (http://www.selfback.eu) and BACK-UP (http://backup-project.eu) as well as the ongoing project SupportPRIM (https://www.ntnu.no/supportprim). In all three projects we are using Case-Based Reasoning (CBR) as the core methodology and I will argue that CBR helped us to increase the understanding of how to build AI-driven applications in healthcare that clinicians are able to understand.
Biography
Kerstin is a professor at the Department of Computer Science. Her core competence field is Machine Learning and Artificial Intelligence. She is currently the program manager of the NorwAI research center, deputy head of the Data and Artificial Intelligence group and part of the Norwegian Open AI Lab.
Kerstin was awarded her PhD in Computer Science from the University of Hildesheim, Germany. Her main research interest are data-driven decision support systems as well as knowledge-intensive Case-Based Reasoning.