Helmholtz Video: How Can AI Improve the Way Patients are Treated?

Faced with uncertain diagnoses, long waiting times, and a shortage of specialists, our healthcare system is struggling to keep pace with the volume of data it generates. Could advanced AI models, such as Foundation Models, offer the breakthrough needed to improve patient care?

In this video from the Helmholtz Association, Paul Jäger, Helmholtz Imaging’s Head of Research Unit and leading AI researcher at the German Cancer Research Center (DKFZ) in Heidelberg, explores how AI can be harnessed to transform healthcare. Paul explains the limitations of traditional AI approaches and the potential of Foundation Models to process vast amounts of healthcare data, generate insights, and assist health care providers in making faster and more accurate decisions.

Chapters
00:00 Intro
01:04 Data flood in the healthcare system
03:46 Traditional AI Models
06:02 Foundation Models as solution
10:28 Challenges of Foundation Models
13:04 Future Vision

More information

Paul’s Junior Research Group Interactive Machine Learning
The Human Radiome Project, one of the pilot projects of Helmholtz Foundation Model Initiative
Helmholtz Association’s YouTube Channel