In his compelling DLD26 talk, Daniel Rueckert (Technical University of Munich) explores how artificial intelligence is transforming medicine from reactive treatment to proactive, personalized healthcare.
The bottleneck isn’t medical imaging itself, Rückert says, but the traditional focus on automating human interpretation. “Why don’t we focus on actually generating much better, much more rich data, which is then way easier to analyze with AI?” he asks.
Multimodal foundation models can learn relationships between simple tests and complex imaging. “I can simply do the ECG, and I can almost deduce everything I need to know about your cardiovascular health”, Rückert explains. Such capabilities make precision monitoring and digital twins feasible in everyday care, he notes.
Watch the video to explore this session in detail.
