Towards Transforming Healthcare with General-Purpose AI

Talk-Titel: Towards Transforming Healthcare with General-Purpose AI

Abstract: In this talk, I will outline the current challenges of leveraging AI for clinical impact at scale. Focusing on medical image analysis, I will share my journey addressing these challenges, which includes publications at Nature Methods, NeurIPS, ICLR, and MICCAI. The final part will discuss how foundation models may help to overcome existing hurdles and spark an AI-driven transformation of healthcare.

Speaker: Paul F. Jaeger (Research Group Leader at the German Cancer Research Center (DKFZ) and Helmholtz Imaging)

Bio: Paul F. Jaeger is a principal investigator at the Interactive Machine Learning Group at the German Cancer Research Center and Helmholtz Imaging. After studying in Karlsruhe, Stockholm, and Melbourne, and doing an internship at Facebook AI Research in Montreal, he received his Ph.D. in Computer Science from KIT. His research focuses on image analysis algorithms, with a particular focus on human interaction.

We are happy to announce an upcoming meetup event in cooperation with machn – implementation partner of the FRAI.accelerator. The meetup will take place on the 4th of July starting from 19:00 in the Kreativpark Lokhalle (not IMBIT this time). After the talk, we will have time for an open discussion with some beer & pretzels.