Online-Webinar: Deploying AI with confidence

What is science doing to increase confidence in AI? We shed light on scientific and practical considerations of AI in Medical Imaging.

What is it about?
- AI has a high potential in healthcare for prevention, diagnosis and treatment selection, but how can physicians trust AI algorithms which are not fully understood?
- What is the role of data quality when it comes to confidence in AI, and how can regulatory approval of medical products be supported?
- How much do medical images differ in practice, and how does that impact the development and application of AI solutions?
- Can we synthetically generate data to extensively test engines already early during development for different data domains?
- Demonstration of practical experiences: Safe deployment of AI tools in radiology

Listen to our renowned speakers:
-The scientific keynote “Accurate Data for better AI” is held by Prof. Dr. Tobias Schaeffter, Head of Institute & Head of Division Medical Physics and Metrological Information Technologies at Physikalisch-Technische Bundesanstalt, PTB, Professor in Biomedical Imaging, Technische Universität Berlin, Einstein Center Digital Future, Professor in Imaging Sciences, King's College London.
- Insights from a current research project “Benchmarking on Synthetic Data” will be given by Prof. Dr. Stefanie Remmele, Head of Research Group Medical Technologies, University of Applied Sciences Landshut (Hochschule Landshut).
- Julia Moosbauer, Co-Founder and COO at deepc, Data Scientist and Mathematician, will bridge the gap from science to practice and share experience on the “Safe deployment of AI tools in radiology”.